StatsAnalysis_4. 回归分析（1）.ipynb

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    "# <div align='center'>第4章 回归分析</div>\n",
    "### 内容<br>\n",
    " <div align='left'>                  \n",
    "     <font color='steelblue' size=4>\n",
    "       4.1 回归分析的概念与一元线性回归<br><br>     \n",
    "       4.2 多元线性回归及统计量解析<br><br>            \n",
    "       4.3 逐步回归与模型选择<br> <br>           \n",
    "       4.4 回归诊断<br> <br>   \n",
    "       4.5 广义线性回归<br>  <br>          \n",
    "       4.6 非线性回归<br> <br>    \n",
    "      </font>\n",
    "</div>\n",
    "       \n"
   ]
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   "source": [
    "------------------------------------"
   ]
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    "## 4.1 回归分析的概念与一元线性回归\n",
    "<br>\n",
    "\n",
    "### 4.1.1 回归分析的概念\n",
    "\n",
    "通过大量实验或观测数据，用统计方法寻找变量之间的关系和统计规律，回归分析( regression analysis)就是研究这类规律的方法。\n",
    "\n"
   ]
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   "source": [
    "### 4.1.2 一元线性回归\n",
    "这里的‘一元’指只有一个自变量X，‘线性’表示因变量Y与X之间是一种直线关系。\n",
    "\n"
   ]
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- #### 示例：\n",
    "![4.%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%901_7.jpg](attachment:4.%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%901_7.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.598</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.582</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   35.74</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 16 Aug 2021</td> <th>  Prob (F-statistic):</th> <td>3.59e-06</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:55:43</td>     <th>  Log-Likelihood:    </th> <td> -92.041</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    26</td>      <th>  AIC:               </th> <td>   188.1</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    24</td>      <th>  BIC:               </th> <td>   190.6</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "    <td></td>       <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th> <td>   69.1044</td> <td>   12.910</td> <td>    5.353</td> <td> 0.000</td> <td>   42.459</td> <td>   95.750</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>    <td>    0.4194</td> <td>    0.070</td> <td>    5.979</td> <td> 0.000</td> <td>    0.275</td> <td>    0.564</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 3.391</td> <th>  Durbin-Watson:     </th> <td>   1.733</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.184</td> <th>  Jarque-Bera (JB):  </th> <td>   1.449</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.123</td> <th>  Prob(JB):          </th> <td>   0.485</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 1.870</td> <th>  Cond. No.          </th> <td>1.40e+03</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 1.4e+03. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.598\n",
       "Model:                            OLS   Adj. R-squared:                  0.582\n",
       "Method:                 Least Squares   F-statistic:                     35.74\n",
       "Date:                Mon, 16 Aug 2021   Prob (F-statistic):           3.59e-06\n",
       "Time:                        11:55:43   Log-Likelihood:                -92.041\n",
       "No. Observations:                  26   AIC:                             188.1\n",
       "Df Residuals:                      24   BIC:                             190.6\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const         69.1044     12.910      5.353      0.000      42.459      95.750\n",
       "x1             0.4194      0.070      5.979      0.000       0.275       0.564\n",
       "==============================================================================\n",
       "Omnibus:                        3.391   Durbin-Watson:                   1.733\n",
       "Prob(Omnibus):                  0.184   Jarque-Bera (JB):                1.449\n",
       "Skew:                           0.123   Prob(JB):                        0.485\n",
       "Kurtosis:                       1.870   Cond. No.                     1.40e+03\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 1.4e+03. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "使用Statsmodels进行线性回归，分析体重与血压之间的关系\n",
    "自变量为体重，因变量为血压\n",
    "使用OLS模型进行线性回归，OLS为“普通最小二乘(ordinary least squares)”的英文缩写\n",
    "'''\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "import scipy.stats as st\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "###自变量与因变量数据\n",
    "weight=np.array([165,167,180,155,212,175,190,210,200,149,158,169,170,\n",
    "            172,159,168,174,183,215,195,180,143,240,235,192,187])\n",
    "bp=np.array([130,133,150,128,151,146,150,140,148,125,133,135,150,\n",
    "             153,128,132,149,158,150,163,156,124,170,165,160,159])\n",
    "\n",
    "###add_constant函数为估计截距项增加一个值为1的常量，公式为：Y~1+X\n",
    "weight_model=sm.add_constant(weight)\n",
    "\n",
    "###使用Statsmodels的OLS函数进行线性回归。\n",
    "result=sm.OLS(bp,weight_model).fit()\n",
    "result.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\users\\hp\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 下面两行代码是设置图形的中文显示\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "plt.figure(figsize=(10,5))\n",
    "sns.regplot(weight,bp)\n",
    "plt.xlabel('体重')\n",
    "plt.ylabel('血压')\n",
    "plt.title('体重-血压回归直线')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模型预测结果： 152.9874133743258\n",
      "\n",
      "通过回归方程计算： 152.9874133743258\n"
     ]
    }
   ],
   "source": [
    "### 当weight=200预测血压是多少\n",
    "#注意预测是输入[1,200]，第一个数据是与截距项或常量项相乘，值为1，与beta0相乘\n",
    "#第二个数据是体重，与beta1相乘\n",
    "print('模型预测结果：',result.predict(exog=np.array([1,200]),transform=False)[0])\n",
    "\n",
    "### 通过𝑌=69.1044+0.4194𝑋计算，从params取出系数的精确值\n",
    "print('\\n通过回归方程计算：',result.params[0]*1+result.params[1]*200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "应用普通最小二乘法估计的回归参数：beta0=69.1044, beta1=0.4194\n"
     ]
    }
   ],
   "source": [
    "###一元线性回归的参数估计，OLS算法\n",
    "beta1=np.sum((weight-np.mean(weight))*(bp-np.mean(bp)))/np.sum((weight-np.mean(weight))**2)\n",
    "beta0=np.mean(np.mean(bp))-beta1*np.mean(weight)\n",
    "print('应用普通最小二乘法估计的回归参数：beta0=%0.4f, beta1=%0.4f'%(beta0,beta1))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (2) 回归方程的显著性检验<br>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "常数项（截距项）beta0的标准误（std err）：12.910\n",
      "\n",
      "回归系数beta1的标准误（std err）：0.070\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "常量和回归系数的的标准误计算过程：上图中的sd(beta0),sd(beta1)计算公式。\n",
    "\n",
    "'''\n",
    "####残差，从回归结果对象中获取\n",
    "res=result.resid \n",
    "###残差方差与标准差,注意方差的计算方式\n",
    "res_var=np.sum((res-np.mean(res))**2)/(len(res)-2)\n",
    "res_std=res_var**0.5 \n",
    "### 求自变量weight的校正平方和\n",
    "sxx=np.sum((weight-np.mean(weight))**2)\n",
    "###截距项beta0的标准误\n",
    "stderr0=res_std*np.sqrt(1/len(weight)+np.mean(weight)**2/sxx)\n",
    "print('常数项（截距项）beta0的标准误（std err）：%0.3f'%stderr0)\n",
    "### 回归系数beta1的标准误\n",
    "stderr1=res_std/np.sqrt(sxx)\n",
    "print('\\n回归系数beta1的标准误（std err）：%0.3f'%stderr1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回归参数beta0、beta1的t值分别为：5.353,5.979\n",
      "\n",
      "回归参数beta0、beta1的t检验P值分别为：1.705895964415006e-05,3.5911051124161987e-06\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "回归参数检验：回归常量beta0和回归系数beta1的t值以及t检验\n",
    "'''\n",
    "###回归参数beta0,beta1的标准误\n",
    "t0=beta0/stderr0\n",
    "t1=beta1/stderr1\n",
    "print('回归参数beta0、beta1的t值分别为：%0.3f,%0.3f'%(t0,t1))\n",
    "'''\n",
    "t检验的拒绝域|T|>t'(n-2),分解为P(T<-t')+P(T>t')，即双侧检验的两个概率之和\n",
    "'''\n",
    "n=len(weight)\n",
    "##分别计算beta0和beta1的t检验p值\n",
    "p0=2*st.t.sf(t0,n-2)\n",
    "p1=2*st.t.sf(t1,n-2)\n",
    "print('\\n回归参数beta0、beta1的t检验P值分别为：{},{}'.format(p0,p1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回归系数的F值为：35.74\n",
      "\n",
      "回归系数的F检验P值为：0.00000359\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "F检验。\n",
    "'''\n",
    "###F值只计算回归系数，无回归常数beta0\n",
    "F1=beta1**2*sxx/res_var\n",
    "print('回归系数的F值为：%0.2f'%F1)\n",
    "\n",
    "###F检验的P值计算，使用生存函数sf计算\n",
    "p_F1=st.f.sf(F1,1,n-2)\n",
    "print('\\n回归系数的F检验P值为：%0.8f'%p_F1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R方和调整后R方的值分别为：0.598, 0.582\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "R方以及调整后R方\n",
    "'''\n",
    "###残差平方和，总平方和与回归平方和\n",
    "sse=np.sum(res**2) #残差平方和\n",
    "#总平方和：sum(y-mean(y)^2)，即因变量减去其均值之后平方和\n",
    "sst=np.sum((bp-np.mean(bp))**2) \n",
    "#回归平方和：sum((y_hat-mean(y))^2)，即因变量回归值减去因变量的平均值的平方和\n",
    "y_hat=result.predict()#调用predict函数获得y_hat\n",
    "ssr=np.sum((y_hat-np.mean(bp))**2)\n",
    "###两种方法计算R方\n",
    "R2=1-sse/sst #或者\n",
    "R2=ssr/sst #结果一致，精度稍微有差别\n",
    "###调整后R方,sse/(n-2)=残差平方和/残差自由度,sst/(n-1)=总平方和/模型自由度\n",
    "adjR2=1- (sse/(n-2))/(sst/(n-1))\n",
    "print('R方和调整后R方的值分别为：%0.3f, %0.3f'%(R2,adjR2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "对数似然： -92.041\n",
      "AIC： 188.1\n",
      "BIC： 190.6\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "对数似然、AIC、BIC\n",
    "'''\n",
    "###对数似然值，注意这里使用残差方差的有偏估计，调用np.var计算\n",
    "ll = -(n/2)*np.log(2*np.pi)-(n/2)*np.log(np.var(res))-n/2\n",
    "print('对数似然：', np.round(ll,3))\n",
    "\n",
    "###赤池信息准则:-2乘以对数似然比+2*（自变量个数+1）。\n",
    "#−2ln(L)+2(p+1)（赤池弘次），其中p为自变量个数，ln(L)即ll\n",
    "AIC  = -2*ll + 2*(2)\n",
    "print('AIC：',round(AIC,1))\n",
    "\n",
    "###贝叶斯信息准则：−2ln(L)+ln(n)∗(自变量个数+1),其中ln(L)即llr\n",
    "BIC = -2*ll+np.log(n)*(2) \n",
    "print('BIC：',round(BIC,1))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (3) 参数$\\beta_0$, $\\beta_1$的区间估计\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回归参数beta0的置信区间为[42.459, 95.750]\n",
      "\n",
      "回归参数beta1的置信区间为[0.275, 0.564]\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "回归参数的双侧置信区间\n",
    "'''\n",
    "###被加和减的数\n",
    "beta0_tmp=stderr0*st.t.ppf(0.975,n-2)\n",
    "###beta0的置信下线和上线\n",
    "lower_beta0=beta0-beta0_tmp\n",
    "upper_beta0=beta0+beta0_tmp\n",
    "print('回归参数beta0的置信区间为[%0.3f, %0.3f]'%(lower_beta0,upper_beta0))\n",
    "\n",
    "###beta1的置信下线和上线\n",
    "beta1_tmp=stderr1*st.t.ppf(0.975,n-2)\n",
    "lower_beta1=beta1-beta1_tmp\n",
    "upper_beta1=beta1+beta1_tmp\n",
    "print('\\n回归参数beta1的置信区间为[%0.3f, %0.3f]'%(lower_beta1,upper_beta1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.2 多元线性回归"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2.1 多元线性回归模型构建以及参数与统计量详解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.951</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.949</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   617.1</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 16 Aug 2021</td> <th>  Prob (F-statistic):</th> <td>1.38e-62</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:55:59</td>     <th>  Log-Likelihood:    </th> <td>  172.11</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   100</td>      <th>  AIC:               </th> <td>  -336.2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    96</td>      <th>  BIC:               </th> <td>  -325.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     3</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "    <td></td>       <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th> <td>    0.0044</td> <td>    0.004</td> <td>    0.981</td> <td> 0.329</td> <td>   -0.004</td> <td>    0.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>    <td>    0.0778</td> <td>    0.013</td> <td>    6.197</td> <td> 0.000</td> <td>    0.053</td> <td>    0.103</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>    <td>    0.1968</td> <td>    0.008</td> <td>   25.128</td> <td> 0.000</td> <td>    0.181</td> <td>    0.212</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x3</th>    <td>    0.7067</td> <td>    0.021</td> <td>   33.885</td> <td> 0.000</td> <td>    0.665</td> <td>    0.748</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 1.353</td> <th>  Durbin-Watson:     </th> <td>   1.821</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.508</td> <th>  Jarque-Bera (JB):  </th> <td>   1.317</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.169</td> <th>  Prob(JB):          </th> <td>   0.518</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.551</td> <th>  Cond. No.          </th> <td>    4.77</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.951\n",
       "Model:                            OLS   Adj. R-squared:                  0.949\n",
       "Method:                 Least Squares   F-statistic:                     617.1\n",
       "Date:                Mon, 16 Aug 2021   Prob (F-statistic):           1.38e-62\n",
       "Time:                        11:55:59   Log-Likelihood:                 172.11\n",
       "No. Observations:                 100   AIC:                            -336.2\n",
       "Df Residuals:                      96   BIC:                            -325.8\n",
       "Df Model:                           3                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const          0.0044      0.004      0.981      0.329      -0.004       0.013\n",
       "x1             0.0778      0.013      6.197      0.000       0.053       0.103\n",
       "x2             0.1968      0.008     25.128      0.000       0.181       0.212\n",
       "x3             0.7067      0.021     33.885      0.000       0.665       0.748\n",
       "==============================================================================\n",
       "Omnibus:                        1.353   Durbin-Watson:                   1.821\n",
       "Prob(Omnibus):                  0.508   Jarque-Bera (JB):                1.317\n",
       "Skew:                           0.169   Prob(JB):                        0.518\n",
       "Kurtosis:                       2.551   Cond. No.                         4.77\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.stats.api as sms\n",
    "import statsmodels.formula.api as smf\n",
    "import scipy\n",
    "np.random.seed(42)\n",
    "x1 = np.random.normal(0,0.4,100)\n",
    "x2 = np.random.normal(0,0.6,100)\n",
    "x3 = np.random.normal(0,0.2,100)\n",
    "eps = np.random.normal(0,0.05,100)\n",
    "X = np.c_[x1,x2,x3]\n",
    "beta = [0.1,0.2,0.7]\n",
    "y = np.dot(X,beta) + eps\n",
    "X_model = sm.add_constant(X) #参见《回归分析导论》p53\n",
    "model = sm.OLS(y,X_model)\n",
    "results = model.fit()\n",
    "results.summary()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (1) 最小二乘法实现参数估计——估计自变量X的系数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.00000000e+00,  1.91171600e-17,  2.34743290e-17],\n",
       "       [-5.46942458e-18,  1.00000000e+00, -3.39809810e-17],\n",
       "       [-2.63406224e-17, -1.63712180e-16,  1.00000000e+00]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###单位矩阵的形成\n",
    "np.linalg.inv(X.T@X)@X.T@X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回归系数: [0.0044 0.0778 0.1968 0.7067]\n",
      "\n",
      "回归方程：Y_hat=0.0044+0.0778*X1+0.1968*X2+0.7067*X3\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "回归系数的计算\n",
    "'''\n",
    "#beta_hat = np.dot(np.dot(np.linalg.inv(np.dot(X_model.T,X_model)),X_model.T),y)#回归系数\n",
    "beta_hat =np.linalg.inv(X_model.T@X_model)@X_model.T@y#回归系数\n",
    "print('回归系数:',np.round(beta_hat,4))#四舍五入取小数点后4位\n",
    "print('\\n回归方程：Y_hat=%0.4f+%0.4f*X1+%0.4f*X2+%0.4f*X3' %\n",
    "      (beta_hat[0],beta_hat[1],beta_hat[2],beta_hat[3]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (2) R方与调整后R方与下文中的各种统计量一起用来检验回归方程的显著性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R方: 0.951\n",
      "\n",
      "调整后R方: 0.949\n"
     ]
    }
   ],
   "source": [
    "#y_hat = np.dot(X_model,beta_hat)#回归值（拟合值）的计算\n",
    "y_hat = X_model@beta_hat#回归值（拟合值）的计算\n",
    "y_mean = np.mean(y)\n",
    "sst = np.sum((y-y_mean)**2)#总平方和：即y减去y均值后差的平方和\n",
    "ssr = np.sum((y_hat-y_mean)**2)#回归平方和:y回归值减去y均值后差的平方和\n",
    "#sse = sum((y-y_hat)**2)#残差平方和:y值减去y回归值之差的平方和\n",
    "sse = np.sum(results.resid**2)\n",
    "R_squared =1 - sse/sst#R方：1减去残差平方和除以总平方和的差\n",
    "print('R方:',np.round(R_squared,3))\n",
    "#调整后平方和：100表示样本数据总数(n)，3表示自变量个数(p)\n",
    "adjR_squared =1- (sse/(100-3-1))/(sst/(100-1))\n",
    "print('\\n调整后R方:',np.round(adjR_squared,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9507045483062277"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssr/sst"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (3) F统计量以及F统计量的p值，对数似然，赤池信息准则(AIC)，贝叶斯信息准则(BIC)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- #### F显著性检验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F统计量： 617.1\n",
      "F统计量的P值： 1.3817403300252077e-62\n",
      "对数似然： 172.11\n",
      "\n",
      "AIC： -336.2\n",
      "\n",
      "BIC： -325.8\n"
     ]
    }
   ],
   "source": [
    "F = (ssr/3)/(sse/(100-3-1));\n",
    "print('F统计量：',round(F,1))\n",
    "F_p = st.f.sf(F,3,96)#使用F分布的残存函数计算P值\n",
    "print('F统计量的P值：', F_p)\n",
    "\n",
    "#对数似然值计算公式： L=-(n/2)*ln(2*pi)-(n/2)*ln(sse/n)-n/2\n",
    "res = results.resid#残差\n",
    "#res = y-y_hat\n",
    "sigma_res = np.std(res) #残差标准差\n",
    "var_res = np.var(res) #残差方差\n",
    "ll = -(100/2)*np.log(2*np.pi)-(100/2)*np.log(var_res)-100/2\n",
    "print('对数似然：', round(ll,2))\n",
    "\n",
    "#赤池信息准则:-2乘以对数似然比+2*（自变量个数+1）。\n",
    "#−2ln(L)+2(p+1)（赤池弘次），其中p为参数个数，ln(L)即ll\n",
    "AIC  = -2*ll + 2*(3+1)\n",
    "print('\\nAIC：',round(AIC,1))\n",
    "\n",
    "# 贝叶斯信息准则：−2ln(L)+ln(n)∗(自变量个数+1),其中ln(L)即llr\n",
    "BIC = -2*ll+np.log(100)*(3+1) \n",
    "print('\\nBIC：',round(BIC,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (4) 回归系数的标准误(std err),t值，p值以及置信区间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "常数项（截距）的标准误： 0.004\n",
      "\n",
      "beta1的标准误： 0.013\n",
      "\n",
      "beta2的标准误： 0.008\n",
      "\n",
      "beta3的标准误： 0.021\n"
     ]
    }
   ],
   "source": [
    "\n",
    "C = np.linalg.inv(np.dot(X_model.T,X_model))#X倒置点乘X，然后对点积求逆\n",
    "C_diag = np.diag(C)#取出C矩阵对角线的值\n",
    "sigma_unb= (sse/(100-3-1))**(1/2)#残差标准差的无偏估计：残差平方和/（样本数减参数个数减1）\n",
    "'''\n",
    "回归系数标准误std err的计算\n",
    "'''\n",
    "stdderr_const = sigma_unb*(C_diag[0]**(1/2))#常数项（截距）的标准误，对应C_diag[0]\n",
    "print('常数项（截距）的标准误：',round(stdderr_const,3))\n",
    "stderr_x1 = sigma_unb*(C_diag[1]**(1/2))#第一个系数对应C_diag[1]\n",
    "print('\\nbeta1的标准误：',round(stderr_x1,3))\n",
    "stderr_x2 = sigma_unb*(C_diag[2]**(1/2))#第二个系数对应C_diag[2]\n",
    "print('\\nbeta2的标准误：',round(stderr_x2,3))\n",
    "stderr_x3 = sigma_unb*(C_diag[3]**(1/2))#第三个系数对应C_diag[3]\n",
    "print('\\nbeta3的标准误：',round(stderr_x3,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C矩阵：\n",
      " [[ 1.02027769e-02  3.59625516e-03 -1.56275451e-04 -3.95262483e-03]\n",
      " [ 3.59625516e-03  8.08446755e-02  6.65199279e-03 -2.52019119e-02]\n",
      " [-1.56275451e-04  6.65199279e-03  3.14396283e-02  9.12318440e-04]\n",
      " [-3.95262483e-03 -2.52019119e-02  9.12318440e-04  2.22937615e-01]]\n",
      "\n",
      "C矩阵的对角线元素： [0.01020278 0.08084468 0.03143963 0.22293762]\n"
     ]
    }
   ],
   "source": [
    "print('C矩阵：\\n', C)\n",
    "print('\\nC矩阵的对角线元素：',C_diag)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- #### 回归系数显著性检验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "截距项的t值： 0.981\n",
      "P>|t|: 0.329\n",
      "\n",
      "x1系数的t值： 6.197\n",
      "P>|t|: 0.0\n",
      "\n",
      "x2系数的t值： 25.128\n",
      "P>|t|: 0.0\n",
      "\n",
      "x3系数的t值： 33.885\n",
      "P>|t|: 0.0\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "回归方程的显著性检验\n",
    "'''\n",
    "t_const = beta_hat[0]/stdderr_const\n",
    "print('截距项的t值：',round(t_const,3))\n",
    "p_const = 2*st.t.sf(t_const,96)\n",
    "print(\"P>|t|:\",round(p_const,3))\n",
    "t_x1 = beta_hat[1]/stderr_x1\n",
    "print('\\nx1系数的t值：',round(t_x1,3))\n",
    "p_t1 = 2*st.t.sf(t_x1,96)\n",
    "print(\"P>|t|:\",round(p_t1,3))\n",
    "t_x2 = beta_hat[2]/stderr_x2\n",
    "print('\\nx2系数的t值：',round(t_x2,3))\n",
    "p_t2 = 2*st.t.sf(t_x2,96)\n",
    "print(\"P>|t|:\",round(p_t2,3))\n",
    "t_x3 = beta_hat[3]/stderr_x3\n",
    "print('\\nx3系数的t值：',round(t_x3,3))\n",
    "p_t3 = 2*st.t.sf(t_x3,96)\n",
    "print(\"P>|t|:\",round(p_t3,3))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- #### 回归系数置信区间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "常数项的置信区间是: [-0.004,0.013]\n",
      "\n",
      "x1系数的置信区间是: [0.053,0.103]\n",
      "\n",
      "x2系数的置信区间是: [0.181,0.212]\n",
      "\n",
      "x3系数的置信区间是: [0.665,0.748]\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "回归系数置信区间计算\n",
    "'''\n",
    "const_inter_left = beta_hat[0] - st.t.ppf(0.975,96)*sigma_unb*C_diag[0]**(1/2)\n",
    "const_inter_right = beta_hat[0] + st.t.ppf(0.975,96)*sigma_unb*C_diag[0]**(1/2)\n",
    "print('常数项的置信区间是: [%0.3f,%0.3f]'%(const_inter_left,const_inter_right))\n",
    "beta1_inter_left = beta_hat[1] - st.t.ppf(0.975,96)*sigma_unb*C_diag[1]**(1/2)\n",
    "beta1_inter_right = beta_hat[1] + st.t.ppf(0.975,96)*sigma_unb*C_diag[1]**(1/2)\n",
    "print('\\nx1系数的置信区间是: [%0.3f,%0.3f]'%(beta1_inter_left,beta1_inter_right))\n",
    "beta2_inter_left = beta_hat[2] - st.t.ppf(0.975,96)*sigma_unb*C_diag[2]**(1/2)\n",
    "beta2_inter_right = beta_hat[2] + st.t.ppf(0.975,96)*sigma_unb*C_diag[2]**(1/2)\n",
    "print('\\nx2系数的置信区间是: [%0.3f,%0.3f]'%(beta2_inter_left,beta2_inter_right))\n",
    "beta3_inter_left = beta_hat[3] - st.t.ppf(0.975,96)*sigma_unb*C_diag[3]**(1/2)\n",
    "beta3_inter_right = beta_hat[3] + st.t.ppf(0.975,96)*sigma_unb*C_diag[3]**(1/2)\n",
    "print('\\nx3系数的置信区间是: [%0.3f,%0.3f]' % (beta3_inter_left,beta3_inter_right))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x3系数的置信区间是: [0.665,0.748]\n"
     ]
    }
   ],
   "source": [
    "#比如对于系数，代入系数标准误进行计算，结果和上面一样。\n",
    "beta3_inter_left = beta_hat[3] - st.t.ppf(0.975,96)*stderr_x3\n",
    "beta3_inter_right = beta_hat[3] + st.t.ppf(0.975,96)*stderr_x3\n",
    "print('x3系数的置信区间是: [%0.3f,%0.3f]' % (beta3_inter_left,beta3_inter_right))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (5) Omnibus、 Prob(Omnibus), Jarque-Bera (JB),Prob(JB), Skew,  Kurtosis, Durbin-Watson,Cond. No.等值的计算。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "残差峰度(Pearson定义)： 2.551\n",
      "\n",
      "残差偏度： 0.169\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#Fisher定义峰度\n",
    "#kurtosis = ((np.sum((res-res.mean())**4))/100)/((np.sum ((res-res.mean())**2)/100)**(1/2)-3 \n",
    "\n",
    "#Pearson定义峰度\n",
    "res_kurt = ((np.sum((res-res.mean())**4))/100)/((np.sum ((res-res.mean())**2)/100)**2)\n",
    "res_skew = np.sum((res-res.mean())**3)/((sigma_res**3)*100)\n",
    "#res_skew = \n",
    "\n",
    "print('残差峰度(Pearson定义)：',round(res_kurt,3))\n",
    "print('\\n残差偏度：',round(res_skew,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jarque-Bera (JB):  1.317\n",
      "\n",
      "Prob(JB):  0.518\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#手动计算J_B值及其P值\n",
    "\n",
    "jb_value = 100 / 6 * (res_skew**2 + (res_kurt - 3)**2 / 4)\n",
    "jb_p = st.chi2.sf(jb_value, 2)\n",
    "print('Jarque-Bera (JB): ',round(jb_value,3))\n",
    "print('\\nProb(JB): ',round(jb_p,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Omnibus： 1.353\n",
      "Prob(Omnibus):  0.508\n",
      "\n",
      "Omnibus:  1.353\n",
      "Prob(Omnibus): 0.508\n"
     ]
    }
   ],
   "source": [
    "#omnibus检验，使用statsmodels\n",
    "omnibus_test = sms.omni_normtest(res) #omnibus检验\n",
    "print('Omnibus：',round(omnibus_test.statistic,3))\n",
    "print('Prob(Omnibus): ',round(omnibus_test.pvalue,3))\n",
    "\n",
    "\n",
    "from  scipy.stats import normaltest,skewtest,kurtosistest,skew,kurtosis,chi2\n",
    "#normaltest(res)#此函数直接进行Omnibus检验\n",
    "s, _ = skewtest(res)#注意：偏度检验和偏度并不是一回事\n",
    "k, _ = kurtosistest(res)#峰度检验和峰度也不是一回事\n",
    "k2 = s*s + k*k\n",
    "\n",
    "print('\\nOmnibus: ', np.round(k2,3))#\n",
    "print('Prob(Omnibus):', np.round(chi2.sf(k2,2),3))#通过卡方分布的残存函数计算Omnibus的P值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Durbin-Watson:  1.821\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#原始计算公式：残差的差值平方和除以残差平方和\n",
    "diff_resids = np.diff(res)\n",
    "dw = np.sum(diff_resids**2) / np.sum(res**2)\n",
    "print('Durbin-Watson: ',np.round(dw,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "通过特征值计算Cond. No.:  4.774\n",
      "\n",
      "通过矩阵计算Cond. No.:  4.774\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "条件数（Cond. No.）的计算\n",
    "'''\n",
    "#C= np.dot(X_model.T,X_model)\n",
    "eigs = np.linalg.eigh(C)[0]\n",
    "cond = np.sqrt(eigs[-1]/eigs[0])\n",
    "print('通过特征值计算Cond. No.: ',round(cond,3))\n",
    "\n",
    "'''\n",
    "条件数的另一种计算法\n",
    "'''\n",
    "cond = np.sqrt(np.linalg.norm(C,ord=2)*np.linalg.norm(np.linalg.inv(C),ord=2))#注意设置ord=2\n",
    "print('\\n通过矩阵计算Cond. No.: ',round(cond,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "x0的VIF：1.0534\n",
      "\n",
      "x1的VIF：1.0196\n",
      "\n",
      "x2的VIF：1.0345\n",
      "\n",
      "手动计算自变量VIF（x1）： 1.019570421001318\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "多元回归分析的方差膨胀系数（VIF）的计算\n",
    "'''\n",
    "\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "for i in range(X.shape[1]):\n",
    "    print('\\nx%d的VIF：%0.4f'%(i,variance_inflation_factor(X,i)))    \n",
    "\n",
    "#计算第i个自变量的VIF，比如i=1\n",
    "k_vars = X.shape[1]#提取列数，即自变量个数\n",
    "x_1 = X[:, 1]\n",
    "mask = np.arange(k_vars) != 1\n",
    "x_not1 = X[:, mask]\n",
    "#以第i个自变量作为因变量，其他自变量作为自变量调用OLS，然后提取Rsquared_i\n",
    "r_squared_1 = sm.OLS(x_1, x_not1).fit().rsquared\n",
    "vif_i1= 1. / (1. - r_squared_1)\n",
    "print('\\n手动计算自变量VIF（x1）：',vif_i1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (6) 预测及其结果的置信区间\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测结果为：2.8295160814 ，置信下限：2.6551880637 ，置信上限：3.0038440991\n",
      "\n",
      "通过StatsModels进行预测：\n",
      "预测结果为：2.8295160814 ，置信下限：2.6551880637 ，置信上限：3.0038440991\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "设定被预测值[X1,X2,X3]的值为[4,2,3]，其设计矩阵为[1,4,2,3]。\n",
    "计算其预测值，以及置信度为95%的置信区间。\n",
    "'''\n",
    "###被预测值\n",
    "x_pre=[1,4,2,3]\n",
    "###预测结果\n",
    "pre_result=results.predict(x_pre)\n",
    "###l统计量。\n",
    "l=st.t.ppf(0.975,96)*sigma_unb*np.sqrt(1+x_pre@C@x_pre)\n",
    "###置信区间的上下限。\n",
    "pre_lower=pre_result-l#置信下限\n",
    "pre_upper=pre_result+l#置信上限\n",
    "\n",
    "print('预测结果为：%0.10f'%pre_result,'，置信下限：%0.10f'%pre_lower,\\\n",
    "      '，置信上限：%0.10f'%pre_upper)\n",
    "\n",
    "###还可以通过preiction对象获得预测值以及置信区间\n",
    "#获得预测对象，以被预测值作为参数\n",
    "pre1=results.get_prediction(x_pre)\n",
    "#预测结果\n",
    "pre_result1=pre1.predicted_mean\n",
    "#置信区间，是一个二维数组\n",
    "conf1=pre1.conf_int(obs=True)\n",
    "print('\\n通过StatsModels进行预测：')\n",
    "print('预测结果为：%0.10f'%pre_result1,'，置信下限：%0.10f'%conf1[0,0],\\\n",
    "      '，置信上限：%0.10f'%conf1[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YcOHChedsn4iIiNctWwZcfz1rLVx/fbZdx44Ba9YAecyg8ZrADq4CzDfffHPWY86Zfudy4sQJ1KtXD1OmTMn2+N133424uLgcnzN79mwMGjQIPXr0wHvvvQdjDCZNmgSHw4Fu3bph27ZtiIiIOOt5DofDrTaKiIh41YgRXO4myyx4p/nzAWv9I98KUHCVr+6///4ce64mTpx41rFZA5qc8qDOtW/37t0YPHgwnn32WTzyyCOZjxtjMGHCBEyfPj3HwAoAypYti379+mV77IYbbsj19UVERLxu5UqO+40cCRQvftbuefOAsmWBqCgftC0HCq7yUaVKlc4KhtJyKSObkpKS2YvkcDgwe/ZsVKtWLdsxx48fR7du3TJ/dgZktWvXxo4dO3IMvMLCwnDnnXdmeywxMRHp6ekAgHnz5uXa/iNHjqBYsWK57hcREfE4hwN46imgcmXg8cdz3P3zz0DnzsAZac0+o+DKiw4cOICuXbuiePHiKF68eK61opyV2xMTE/HNN9/gsssuw7FjxzKrpKempqJHjx45Dgs6a2MBDMg++ugjfPXVV+dtW2pqKubPn49GjRohPj4+x4rsThkZGbjiiitw+PBhTJ8+/ULeuoiIiGesXw+sXQtMmACcUUoIADZuBA4dArp29UHbcmH8JZ8mKirKrl27Nsd9f/31FyIjI/O5RQVbWloaQkJCzjnkmNXBgwdRqVKl85Zl0LUSERGP27kTqFs3W9FQp9dfB158kesKVqqUf00yxqyz1uY4EKmFm4NUWFjYBQdWAFC5cmXVuxIRkfx18CBv69fPMbACmG/VtGn+Blbno+BKRERE/M/Bg0CDBsA77+R6yMmTwIoV/jNL0EnBlYiIiPifl18GUlKAm2/O9ZBFi4D0dAVXbvOX3DDJna6RiIh4xPr1wGefAU88AdSrl+th8+YBpUoBrVrlY9suQEAEV2FhYUhKSvJ1M+Q8kpKSEBYW5utmiIhIILMWGDyY69i8/PI5D5s3D+jYEfC3r56ACK4qVKiA6OhoJCYmqnfED1lrkZiYiOjoaFSoUMHXzRERkUB26BCwaRPw6qtA6dK5HjZvHvDvv+ccNfSZgKhzVapUKQCsG5Vb0U3xrbCwMFSsWDHzWomIiLilUiVg3TrgjMLZWVkL/Pe/QI0aQO/eWXY4HMCoUcBtt51zONHbAiK4Ahhg6YtbRESkgFq1Cli8GHjhBaBWrXMe+ssvXBHn44+BwoWz7Nizh2sQVqni0+AqIIqIioiISAG2YwfQujWHAdet4wLN59ChA7BtG/DPP0DRomfsTEtjD1aRIl5rLnDuIqIB03MlIiIiBdChQ6ylUKgQE6nOE1gtX86eq9GjcwisAL/Ibg+IhHYREREpgE6dArp1Y4D1448XNJQ3YgRQrhwwYMAZO44eBRo1AubP905b80DBlYiIiPjGmjXA5s3Ad98BLVqc9/C1a4G5c1mpoXjxM3b+/DOwdStQtqx32poHGhYUERGR/JWQwOjo+uuBXbuA6tUv6GkjRjAta+DAHHbOmQNUqAA0a+bRprpDPVciIiKSf1asAOrWZRcUcMGB1ebNwMyZwKBBrMqeTUYG87WcuVs+5vsWiIiISHCYMYO9VaVKcVHmPBg5EihRgivinGXNGiA2FrjxRs+08yIpuBIREZGLc/gwMG0a8OKLQNeuLAQaEgJs3Mj9X38NXH45cPvtQJMmrt6rC7R1K9OyBg7MJaWqaFFWE+3c2SNv52Ip50pEREQuzooVQK9eQGgo0LAhh+eqVQMqV+b+smVdj7/2GlCs2AWf2rnUYEQE8MwzuRzUtCnw7bcX/z48xO3gyhgzCUAkgDnW2tfOcVxFAPOstU3dfS0RERHxQ9YCxgDXXcfinw0b5ly8s2tXbm6YO5fVFd59lyUYznLyJMsw5KEnzNvcGhY0xtwGIMRa2xpAFWNM/XMcPgpAuDuvIyIiIn7skUeAu+5iDlWzZh6vip6Wxl6rBg2ARx/N5aAZM1gfa+tWj772xXA356o9gKmn7y8G0Cang4wxHQAkAIhx83VERETEH8XGAl98wSE+Y7zyEmPHAtu3A++8c8YaglnNmcO1BC+/3CttcIe7wVVxANGn78cBqHjmAcaYwgCGAng+t5MYYwYYY9YaY9YeOXLEzaaIiIhIvps0CUhKAh5/3CunP3YMGDYM6NSJRdxzlJbGMcMbb/RagOcOd4OreLiG+krkcp7nAXxsrT2R20msteOttVHW2qjy5cu72RQRERHJVxkZwJgxwLXXAldc4ZWXePVVplONHn2OuGnFCh7kJyUYnNwNrtbBNRR4JYA9ORzTEcBAY8wSAE2MMRPdfC0RERHxJz/+COzZ47Veq7/+Yuw2YACXC8zVnDlcqPn6673SDncZa23en2RMKQBLASwC0BVAbwB3WGtfzuX4Jdba9uc6Z1RUlF27dm2e2yIiIiL5LCaG+VaDB7P8gofdeCOwfDlXxjnnwNbRo8D69Rw7zGfGmHXW2qgc97kTXJ0+aRkAnQD8Zq296IR1BVciIiLyzTecgDhqFPD0075uTe7OFVy5XaHdWnvcWjvVE4GViIiIBIgPPwRmz/bKqVesAO6/H2jX7gJGHAcNAr76yivtuFha/kZEREQuzMmTwAsvANOne/zU//wD3HwzUKMGT59r6QUA2LQJ+OADYOdOj7fDExRciYiIyIX57DMgIcHjiewnTrDcgsMB/PQTcMkl53nCiBFAyZLsvfJDWltQREREzs1aYOpU4PXXgVatgKuu8tip09KAnj2Bv/8GFi4E6p9rzReAUwmnTQOefz6XVZx9Tz1XIiIicm7//gvccw8XYh471mOntZbL2ixaBEycyFyr8xoxAggPB556ymPt8DT1XImIiMjZ9u5lD9EzzzARavlyrh8YEuKR06emspLDxInAyy8Dffte4BN79gRatjxPjQbfUnAlIiIiLunpwLvvAkOH8ueePYFatYDmzT32EgcOAHfcwdmBTz/NauwX7JZbPNYOb9GwoIiIiNCGDewVevZZoHNnrppcq5ZHX2LpUqZsbdwITJnCelaFLiQa2b0beOUVZr/7OQVXIiIiAqSkAF27Avv3czhw5kwOB3qItcD77wMdOnCi3+rVwJ135uEEb7zBLSHBY23yFg0LioiIBLNffwWuuQYoUgT4/nsgMjJPs/AOH2bZqRMnWAbrxAluR49y36FDru3UKday+vxzICIiD23cs4dlIPr3B6pWzdv78wEFVyIiIsHon3844272bODTT4H77mOQlQfWsidq69bsjxcqBJQpA1SsyC0qirdNmjBx/YKGAbN69lmuYfjii3l8om8ouBIREQkmCQmsVzVqFBAWBrz5JtCnj1unWriQgdXIkUD37uyNKl0aKFHCjQAqN0uXcphy2DCgWjUPndS7FFyJiIgUVAkJwI4dwK5dnPVnDPDYY8DkycDddzOwqlLF7dN/+CErIgwezFFFryhXjis5DxnipRfwPAVXIiIiBUlcHPC//wFffgksWcKxO4AJUOXLc52Z/v3zPAR4pn/+AX78EXjpJS8GVgBzwPx0gebcaLagiIhIoEtPB5KSeH/GDOD++1lV/cUXuWzNpk1MggLYg3WRgRUAjBnDeqIPP3zRp8rZqVM8+b//eukFvEfBlYiISCCylvUMHn+cQ3uffMLHb78dWLmSw4GvvcZqnY0bMyHcQxISgEmTgNtu8+LkvZEjgXHjgJgYL72A92hYUEREJJBYCwwfzmG/v//mmFyPHlyaBmA2ecuWXm3C11+z3MLjj3vpBf75Bxg9mlMLPVgZPr8ouBIREfFn1rJy+h9/AA88wKT0ZctYOf2ll9h9lKeiURffnA8+YFkFD4wu5mzIEPa0jRzppRfwLgVXIiIi/mbTJmD+fGDnTtY7+OcfoHBhoFcvljefM4dlFHxgyRKWX/j0U8Z5Hjd/PjB9OvDf/wZEwdCcKOdKRETE1xITgY4dmScFsGr6kCGc9degATB+PJelKVmS+30UWAEsv3DJJUDv3l56gZYtgWee4YrOAUo9VyIiIr5kLUsjLF7sWpT43ntZh8o5w89P7N0LzJrFgunh4R4++YkT7J0rVQp4+20Pnzx/KbgSERHxpdGjgW+/BUaMAFq04GOlSvm2TbkYO5a3jzzi4ROnp7NERFISK7J7rLy7bwR260VERALZwoXsBrr9duCFF3zdmlwlJLB5o0czf75GDQ+/wNNPA4sWsQcvwAMrQD1XIiIivjN6NCuQT57spezwi2Mt13V+4glg3z6gXz8uSehREydy+uFTT3Hx6AJAwZWIiIivTJ8OHD3K2lR+ZvduBlU//sgapEuXAm3aePhFfvsNePRRoHNn4K23PHxy3wn8vjcREZFA4HAwYpk5k8vSnDgBFC0KVKvm65Zlk5YGvPEGcPnlLLswejSwbp0XAisAqF8fuO46YMoUj1aQ97WC805ERET8RWoqtxIlgO3bWfxz0yaulwcwr6huXT7uR1atAgYMADZvZhrY++97odTU4sXAZ58Bn38OVK4M/Pyzh1/A99RzJSIicjHS04EFC5g39NBDXK6lZEn+DLCcQqFCLK8wfjwjmLg4vwqsTp7k6Fzr1uxQmz0b+P57DwdWx44BTz4JXH89sGZNQK4ZeKHUcyUiIuJ06BDLjycmAqVLu8bCxo5lEc8TJ1xb27bA888zEf2mm4CUFAZSTZsCgwYB117L51aowNwiP2Qtq0A88wzf+qBBXLbQWav0gk2ZwgCybFl+BmXK8PMrWxY4fJif486dPPaJJ4DXXweKFfP02/EbCq5ERES++ooz9n75hblRACumL1jA+2+/zelypUu7tthY7gsJYUX1mjWBihX9ctZfTrZsAR57jE2/6ir2VkVFuXmyxx9nYn5W998PTJoElC/PE99/P9CpE1+sgFNwJSIiBV9cHPDvvwyInFtKCvDww9w/Zw7Lj7/4IhOsS5bkGi9OW7awJHlugdPVV3v/PXjIyZPAK68AH33E9Z7HjeMIZUjIRZx0wwZ+psePu7YqVbjPGOCbbzzR9ICh4EpERAqmf/9lT1LhwsCbbwIjR559TPv2wGWXMReqePHcg6cAHMJKTmb5hH37+FHs389t3TqmPz30EPDaa9ljyDy75x4OifbqFbCLLHuDgisREQl8KSnMldqxA/jzT2DuXGDtWmDePOCGG4AHHwSuvJKRRNmyrs1ZX8oP60y5KzWVk/Fee43BFMCYsWJFoHp15pMPGeKB0bk1azicGkC9dvlFwZWIiASOlBQGTxs3ciiqUyegWzfg779d0YIx/MJ3FmsCgFq1uBVg6emMdYYPZzmtVq2AMWOAK65gxYPChT38gh9+yOHTe+/18IkDn9vBlTFmEoBIAHOsta/lsD8CwJTTrxEP4E5rbaq7ryciIkHIWgZL8fGccbZ1K6MIgEN1VaowuKpbl7UDGjQA6tVjflQQyMgA1q9n6ahJk9hx16wZ8PHHQJcuXsytj4kBvvuOKzjneWphwedWcGWMuQ1AiLW2tTFmjDGmvrV25xmH3QVgtLV2gTFmLIAuAGZfZHtFRKQgy8hgUtCCBdyqVgW+/prDdk2bAjfeyOG9Jk0YRDmzsIsUYdXLAs5axpeLF3NbsoQJ6gCDqhkzgJtvzocJi+PHs5T7wIFefqHA5G7PVXsAU0/fXwygDYBswZW1dkyWH8sDOOzma4mISEGVkcH6SMawZtT48ZxpBjCY6tTJdexnn/mmjT5kLbBtGytE/PILyyYcOcJ9deoAd9wBdOjACY6VKuVjw5o2BZ59lj2FchZ3g6viAKJP348DUC+3A40xrQCUsdauymHfAAADAKBGjRpuNkVERPzWwYPMpC5UiHP/x4/nEJ9zS0riVrQok81vvZX1pa6/nsU3g8jhw8DKlQymsm4nTnB/tWoc6rvuOm4+TSG76SZukiN3g6t4AM4B7RLIZRkdY0xZAB8CyLGv1lo7HsB4AIiKirJutkVERPyBtVxHb9EijlmtXMngavt29nBUrMjullKlOMzn3JyGDPFd231s507m4Ds77apUYYWIPn3YSXTddfzo/KI+6aefMrAqX97XLfFb7gZX68ChwFUArgSw/cwDjDGFwaHDF6y1e91uoYiI+J/0dBZQ+vtvoH59dqPMmsWeJwCoUYPjVVFRrGYOcAzrjjt81WK/FRfHPKlChZhD1aQJi3v6pbVrWXH0vfe4Vo7kyN3gaiaApcaYKgC6AuhtjHnNWvtylmMeAHAVgJeMMS8BGGut/e6iWisiIvnHWib4OBxM6ImJAe67D9i1C9izxzVrb/Ro4KmngHbtOOzXoYMfdbP4N4cDuPtuzvJbsMC1HKFfspbXukQJ/h5IrtwKrqy1ccaY9gA6AXjLWhsDYOMZx4wFMPZiGygiIl5y7BiXdSlalGNS1nI23rFjXMrk6FFORXvqKX6pli7NxKBmzdgDVbcut0aNeL6yZVmsUy7Y0KHADz+wZNR11/m6Neewbx9Lus+bx1WeS5XydYv8mtt1rqy1x+GaMSgiIv7k5Engf/9j3lPt2lwzD+BQztatLMR58CAfu/lmYOZM9jSlpTGxvH59Bkt16wJt2/K4okVZJkE8YupUYMQIoH//AKhoMGwY19L58EPg0Ud93Rq/Z6z1jzzyqKgou3btWl83Q0QksC1axKG52bO5uFy5cgyOpk/n/ttuA6KjgchI9jg1buwq4S35ZsMGoHVrJqsvXswyXX5n506OW156KXsx4+MLfJX7vDDGrLPWRuW0T8vfiIgEsr17Wfzozjv5DT1nDr+t+/dnMk+LFtlzn5xBluQbh4N5/xs3ctu0iZ1Al1zCzkW/C6xSUoC332a3Wrt2wM8/M0gvV87XLQsYCq5ERPzV4cMcvjt6lEFSjRrMfZkyBfjrL04t27OHx9auzR6qoUO5pl5YmC9bHrRSU3nJ1q8H/viDtxs2AAkJ3F+oEDuCunThSG2+Fv68EIsWcdhvxw7m1b33nq9bFJAUXImIeFtaGpPFCxdmRfK9e9k7EB/PefhxcSxqFBnJLo7+/ZkX5SzFDXBF3rvu4oq8zz3Hbo9rrwUGDwbatwcaNuRxfjuHv2A6cQJYvhxYtoy9Ub//zgAL4KS6Jk2A++/n7ZVXch1pv132cNo0oFcv5tnNncsIUNyi4EpExFscDuCtt4BXXuGMuzfeYKJ53bpnH/vf/wIvv8zgKCkJ6NGDAVPDhsyHcq5icc01wKlTQPHiKnXgYQcPctR082YGSCkpvHVuDgdjY+cWG8teKmuB0FCW9HriCd42bcqlDwvlWGLbj2RksDe0dm2ge3cOBw4c6McRYGBQcCUi4g0xMcA99wALF7KwprMXoEQJYPJkJtqULMkp7SVLcm0TgHktq85aLcwlNDR7VXO5KNHRzHuaNo09UNbyEoSH8xIVLszb0FCuER0SwoApJIS53XfeydHYFi2AYsV8/W7yaPVq4JFHWBb+r7/4pp95xtetKhAUXImIeNry5ZyVd+oUMGECK1o7e5kKFwbuvde37Qsyhw5xlGvnTo60OrdDh1gPFeDEyWHDmGYUGenT5nrfsWPACy8AEyeyV/S99/wwqz6wKbgSEXHH/v0swGktuzKMYQ9Uq1ZcGK5+fWDcOFculOQba5my9sMPrEixejUfCwlhr1T58tyuuopxbs+eTHkrcHbtAj7/nBMirr0W6N2bAX/t2kBiIoeqhw3j7614lIIrEZELkZDAOfStWvHnPn2YwZxV48Y8pnZt7lNOlFelp3NN6J07GUc4b7dtAw4c4DHNmwPDh3Od4caNAyAHyhMcDhb7fOEFJo6VLesqo1CsGHtVn36aH4h4hYIrEQlux49zzrxzmziRyeLvvMNkdGeCjXONvdhY/qX/1lv8dg8NZbeItdmTgBVYeZTDwUTzdeu4/fEHa0YlJbmOcRaW79CB5Zm6dWMnYtB5/HFgzBh+AOPGAVWruvaFhDDnT7xKwZWIFEzp6Zz+deZ2771cVHjmTNbzcS4BAwA1a3K479JLOU50222cTeVw8Ju7Y0cuAQMALVv65G0Fk1OnuJjxTz9xO3SIj5csydl4Dz/M28hITsAsU8a37fWplBT+zhcvziT1q6/mhAoF+T6h4EpECqbFi4Ebbsj+mDEMiurU4V/zXboADRow+aZp0+wVqLt14yb5xlr2Ti1YwKLgS5awRFhEBC/VjTfy8gVEiQNvmzKFQ9B//cVt1y7gP/8BvvyS2fnOxbTFJ7S2oIgUDNZyKO/4cS7bERPDbObKlV1bxYocxhOfSk/nZYqN5bZjBwOqBQtYlB5gb1T37oxvW7cOwoLz1rJOxJYtjDg3bmQJjk8+4f6GDZlwVq8eP6zISNZA0x8E+UZrC4pIwXbqFHDffSxYdMcdHMqrVAkYMMDXLQtq1jLJfPVqbqtW8ee4uLOPrVCBo66dOvHWWfYrqPz6K2f1AayNNmuWa1+1akwmc5o/n1MeCxfO3zbKBVFwJSKB7a+/mBu1YwerSz/9tPJMfCQtjcnmv/3GbeVK9kwB7HRp3pwpb+XKcQKbc6tWjcvCBPVQ3/TprEh69CjHQe+5B+jc2TXEV7Zs9uOzJqmL31FwJSKBKyGBf+kbw0ro113n6xYVaOnpXBYxJoYxwLFj3I4c4ey9lStZPglwzQe4+mrmSUVGcqKa5GDDBgZTV13lKuZ5++0+bZJcHAVXIhJ4UlM5HFK8OCugX3VVkI4jec6ZeVCxsQygdu5k3aht23jfuShxVoULM3jq358lENq25TCfXIBDh7iOZJkywIwZrtmoEtAUXIlIYPnzT6BXLxZIvOsu4Oabfd2igJGRAcTHs6fJmSe9aRNvd+5kxYkzhYSwzMFllzFX+tJLOSJVrhyrU5QrpzWk3ZaSwu69o0dZdLZyZV+3SDxEwZWIBIaMDC7l8dhjLHRUsaKvW+S3EhOZ7zx9OhPJ4+KY85+QkP04Yxg4XXEF5wFUqsQOlKz5UDVqKGfaa0JDOWY6aBB7X6XAUHAlIr7377/sQilShFvRoiy93aoV5+C/8w4wdCijhg4dgK++0l/5Zzh+HJgzhwHV3Ln8+MqWBdq3Zw9TyZKurWxZzuRv2JC9TpLPYmPZa1W5Mn+3pcBRcCUivmMtu08WLWIphTNt3MhulYYNWVahRQsOCSozGhkZwJo1LLb588+873BwuZf77uNoU7t2QVgfyh8tX86Id+NGJq/v388LtWhRAV0xWhRciUj+S0sD/u//mB09ejRX1V2zBkhO5l/0KSkcMqldm8d36cItCDgczHHet48z8/bt44y8uDjXdvIkO/qOH2ds2rw58NJLrGDeokWQlzTwpf37GemuX88gas4coFQpBlZvvMFA6tprgSuvBJo0YQFQKZAUXIlI/tq/H+jdm3/NP/SQa92+Sy7xdcu8zuHg2//7b2D3buDAAZY1OHjQdRsdffaMvNBQlj4qVcq13Xwz482OHYPio/Nvy5YBTz0FOFcZKVmSAdSxY7xYQ4YAL7+smYBBRMGViHhHfDy7XkqU4ILIycnA+++z0GdKCvDNN1wLrYBbuRJ4802WMti9++zAqWxZJpJXqsQUs+rVmUReowY/turVGVhpNp6X/f03SyFMn87CtBkZwLPPMig6dIgXpFgxbsWLc3vzTRb6jIjgUPXrr7OswmWXZe8+jIjw3fsSn1BwJSKelZEBjBvHcaoTJzi778MPGR08/zyHQ6ZM4Zz+Aiw2lm93wgQGTtdcw96munW51anDtBtnzUjJJ9ZybDUmhkH+FVfwtkkT/kHQrBlw991MVnPO4CtRgj1TiYncEhK47drF4KpxY67tI3KagisR8ZxVq4CBA1muu0MH4MEHmYwOMIo4frzAd8NYC3z5JfDMMwywBg8Ghg3jSJH40IMPMoE8JoZTKQEGRc5Zqt9+y2VmatU6+7nFizNnSuQCKbgSkYtjLbdChVhcKSaGPVO9ep0dRJUu7ZMmetrx40yv2bnTlYOfmsrbZctYD7JlS2DBAqbeSD5JS2NZjx07+OGvWsVFDkNCmDyemMjyB85x2Jo1Xc/t3t137ZYCx1hrfd0GAEBUVJRd60wGFBH/FB3NnJJjx1xDJElJwPDhHAZMTuYXXIB206SkMN3m8GEuB5N1i44Gfv+d265dOT8/NBQoXx549VXggQc0a89r0tOBrVt5Me64g72hY8cCjz/OYWmAlU/bt2c3otbiES8wxqyz1kbltE89VyKSs/R0Du9Nn84vrxde4F/9NWtyOKVYMSA8nLdt2vA5RYv6/Yyo1FQGT4cOcXbetm0sP7RxIwOr9PTcn1utGsse3Hcfbxs25NsvUoTf5Sq/5UW7dgFjxrDk/Pr1rqG9mjWBTp2Apk2Z5OZMaLvqKuZKifiAgisRye7jjzlravVqJviGhnINP4BdMdOn+7Z9F2DZMgZK+/dzi47m7cGDzIM6U9WqHL7r1o231asznzk01LU5Z/VJPklOBhYu5MVp2pQJ5GPHMmh66CFGt82bu2pFtWzJTcQPKLgSKchiYjh8cvgwcOedDI6++IIB0vHjri0piYvHAix+GBsL3Hsvp7jdcAMjiwCQnMzJiZMm8Wdj2NlWtSpQvz7rN1aqxGUJnbd163LxYfExa5nEtmABc/cWL2ZwP2AAZ59ecQWHo4sV83VLRc5LwZVIQbN0KTB+PIt07t7tetwZJB08yJo+Zcty+KRMGW4ZGRzXGj8+IGfz7dsH3H47E81ffBF4+GEGUFr+xY9kLYPgrJxqraveWefOrI1WuzZ7S2+9FbjuOu4zRoGVBAwltIv4g6QkfskUK8Zeo19+cc3Cs5aJQNdcw/ySvXuBadOAI0c4M8q5ffcdcPXVwNdfA08/zeOvuYZDKpUqsesmtGD+PbVwIYu+p6WxY+7mm33dIgHA39udO4HISP7csyfwv/9lP6ZGDf5OA8CSJRyTrVs3X5sp4g6vJLQbYyYBiAQwx1r7mrvHiASdxETgp59Yc2f7dibq7t/Psaz77+eXUc+eZz9vyhQGV7t2cTmNwoWZYV29OtC2reuv+t69gT59ArL3Ka+sBd56iz1VkZEc7WzQwNetCmInT7Ik/fLlwIoVzNtLTubjxYtzaPrqq1k91VkSoXJl1/Pbt/dZ00U8ya3gyhhzG4AQa21rY8wYY0x9a+3OvB4jUuA5HPxi2buXw25XXQWcOsUaUBERnG7WoQP/Um/WjM9xFjYEGCAZw7Et55dQu3YcWilePOe5/kEyZe3IEaBfP66N26sXY1NNDvMCa/l7HBICbN7MDzo+nr/PzjoVQ4cyup00ib2mISHMkerXjzNJnb+nd9zh07cikl/c7blqD2Dq6fuLAbQBcGbgdCHHiAS+1FTO44+LA66/no+1a8cvopMn+eUEAF27MhKoWJElDho3znmYrlgx7stNWFjQJxL98gtTcmJjubLOwIFB0VHnHYcO8fepbFn+EfDmm/xgY2M5yWHXLtaKuvlmHjtxIv8wyDqV8tQpnuuOOzgM3by5Il0Jau4GV8UBRJ++HwegnjvHGGMGABgAADVq1HCzKSL5wFp+0ZQvz5+//JKVn7dsYc2dlBT+5f7nn9zfrh3XKnMmi1esmH3Io2nT/H4HBUJ6Ogt0jhjB4b+5c1UB/Zys5UzRQoX4u5uUxAkL//7L3tGNG7n/vfeAQYM4ZD1tGgOtsmXZW9qmDYeeASaXnzqVeyRbvbrrWJEg5m5wFQ8g/PT9EgByqkN83mOsteMBjAeY0O5mW0S8Iy2NCbbTpwOzZrHOzokT/GKZP59Txhs04Nz/q6/m5vSaUgw9JSGBMeuWLRx1Wr6cRTw//JAjo3KG2Fhm+M+fD/z8M/P5nnwSePdd7n/ySVY9bdgQuPFGRqedOnFfZCTHW3MTJEPOIhfL3eBqHTjMtwrAlQC2u3mMiH/66isupXHiBIfpbryRPU/O3JPPP9faJh4ydy4wcyZTeBwO13biBEt07d7tGlktXZqTIfv08WGD/Y21HK6rVIn3GzcGDhzg0F3Hjpz84Az8w8NZK6p0af3+iniRu8HVTABLjTFVAHQF0NsY85q19uVzHKPSueK/kpMZULVqxb/o69Rhjsltt/Gv+vDw7Mfri+mipaVxlt+oUfyud+bnO7fixYGoKOZEN2rErU4ddZ4A4PDeypXsUZ01i4/t3s1e1Q8+4HBeixY55/QFSEFYkUDmdp0rY0wZAJ0A/GatjXH3GCfVuZJ8l5TE7pHPPuMX0qFD/LYfMcLXLSvw9u/nrPwVK4BHHwXeecfvlyT0rqQk1+KEGzZwWO/4cQ7xHT/O3qapU5m/98orXCgb4IfWqRMX0+7Xr8DWMRPxR16pc2WtPQ7XbEC3jxG5KGlpwKpVHAY5fJjDIk88wX1PP81F5k6d4hYfzxyp1au5/7rrXPdvuIHDJx06+OZ9BJH58znTLzkZ+PZbluUKKocOsc7Z8uXAjh2sln/wIBPMGzdmxDlkCAMt54SIcuWYbF6mDGekFi3K/KhOnZR4JuKH9GeOBK5PPwX+7/8YWDlVquQKrpyr7daoAZQsyS+hmjVdxz7xBJN3r7uONXnEo1asYCdM1iUMDx9mXNGwIfD998Cll/q6lfkgPp4FYFu3Bi6/HFi3DnjgAeCSS/hB3HAD65yVKcPj+/UD7r6bv7M5zcpr146biPgtBVcSWDZtYuJNiRKsL9WwIaeNXXopUKECv7Cc3nzz3OdSVrRX7NvHTsPvv3c9Fh7u6oR59FFWVS/wy8SdOgV8/DGTyo4d4+/j5ZdzYsTWrex5yil4KvAfjEjBp7UFxX+dOgXMmMFinFu28DY6ml9Yjz7KIUBVjvQbycnMnXKmrL34IjtoypblzP+g8s47wOuvM6jq2pU9rC1b6vdVpADxSs6ViEc4HBwv2rWLwyXr1nGx4fvvZ8/UvffymzkykvlQzZu7knT0RZXvHA7XUF96OlPe0tMZQ4wcCfzzD3D77Ywtso7AFjhbtgCLF7MY58mTru3779mrum0byx+88gpn7YlIUFFwJd71+edcUsO5nEZsLCuXO4tsVqzIyudOl1zCHCnn/e3bOQyoWVA+Yy2L0H/7LfDdd4wncnLZZayr2rFj/rbPI1JSXL9rJUqw+v7HH7OCaWIib48c4Sy+OnX4RgcPZmJ56dKsKRURwe67EiWAsWP1OysSxPSvXzzLWg7fORPER43iX/mlSnF8qEwZ9kI5vfQSe6Bq1OCixtWrZ++RatAgf9svAJiD/fvvXMPvu+84qS00FOjShcN+NWvy57Aw3hYuzEvll0sepqQwIty3j42sVo1v6O23OXNv505uGRmsaN65M0t0bNrE/Kfixfl7W6+eq5ppv36c8li+fM49qAqsRIKacq7EM6wFZs/mwm9bt3KYr3p1fkkVL+6n37rBKzU1+2jWiROsBrBqFWf5bdrEWMMY5l//5z8c7guY+pO7d7PR+/bxjTlNmAD078+Fs7t3Z3BUpw4rlDZsyKHnChV8124RCRjKuRLPWr+e37I1azLJZsgQLv62bRv/up8wgRWiAQ6ZiE+kp7OE0rZt7Khxbjt3Zo83sipRgqlCL7zAygFXXx1AARXAYbmiRdlTWrIkk8lr1mTPaI0arCMFAM2aZS/hISLiQQqu5MJZy2/dN9/k9uyzLHT411/8AnvuOdbn0ZBIvrCWEyoPHuQWE8NgautWbtu2sYfKqXx5jordcANQuzZHupzpQqVLs07lpZcG6PIy1gLjx3OG3sqVDO4XLPB1q0QkSOlbUC5MRgYwcCAwbhzw4IPMNwEYVP35p2/bFuDi4oA1azgct3YtV0IBXOk91nJWXnIy9yUnczt2zHVsVjVrumpTNmzIFLcGDQpwJ2JyMvDYY8CkSUwKC7q6DyLibxRcyfmlpgJ9+zKz+YUXmNGsMghucTg4KW31am4rVjD/31my67LLXIW6AdfHXLgwe5aKFuVWpAiH6ypVYieNc6tRg0N7QWP3bqBXL0al//d/LH0QkF1vIlKQKLiS8zt8GFi61DUUKLlKSWFO0/HjTBJ3bgcPsnfq99/ZUwUwLahlS+DWW135TRERPmx8IBo6lB/4rFlcvFhExA9otqBQfDxzVBIT2VPl3Dp04NjSyZP65s/BqVNM8Vm6lKWRVq9mgHWm0FBWp2jRgkHU1Vczv6lQofxvc8A7dYoRatWqHBuNjy/gFUtFxB9ptqCc3/r1HF5JT8/++PjxDK6COLCylp0j69dzFGrPHt7u3s3JkhkZHIlq1oxpac2bcwivdGnXFhGhahQesXYtSyyULw8sX85Cs1nXkxQR8QMKroJdbCyTd9q2ZXEjZ0VI5xZUCTwuCQlc3WTePGDuXAZSTuXKAbVqsdD8nXfyo2vVijP/xQPS0ngBnPXRfv2Vyep//cW1dypX5hC18v5ExE8puApm8+ezt2ryZOCWW7JXTg9Sy5axcPe8eRwVLV6cI6NDhnDJw9q1FUR53OefM3cqPp6bs37E0qVAmzbA/v3AokXA5ZcDTz0FPP98gBXfEpFgo+AqWH32GTBgAL+wonIcMg4aDgfw00/AG29w9l65cpzZf+ON/G7XzH4v69aN+X5lyjCaLVGCt7VqcX+fPq7SHyIiAUDBVUHlcHCJj3nzWJb79deZADxlCkspbNkCdOoEfP89p60VYA4H60HFxzMv3zmT7/hxzuKbOJGlumrWBD78ELj/fi4pJ140bx4XN/7+e0azX32V+7Ea/hORAKPgqqDZto2B1Lx5LKEAMGo4eZLBVcmSQN26nP//f/8X8FnWmzYBM2bwrcbGcvJYbCy3+Him7iQmnvscjRrxu71Xr4D/OPxfRgYwbBgD/MaNgaNHXUsliYgUEAquAllaGlfanT+fWdWdO3Nq248/sjx31668zboQbbdu3AJYWhowcybw0Ucsf2AMR5TKluXEsQoVWIyzZEmOLmUdaYqIcC37Uro071eqpM4Rj0tMBD74gB/644/zsWbNgL17Gfnedx8voLoIRaQAUnAVaBwOjl0tWgT88gu7Z0JCOLOvc2dGFYcPF7gq1UlJHLqbOxf45BMgOpopOW+/zWE85Tf7CWuBqVM5A+Dff4H+/V37rr6ahb7atwd69/ZZE0VEvE3Blb+zlmNWR49yplShQvyL31oukty5M3Ddda6F44wJ+MDq+HFWMl+3jsN+GzdyyRiHg/s7d2a6zo03BvxbLVi2bgUefZTdiU2bAt98wxkBTmPH+q5tIiL5SMGVP8u6WHKTJgyuABZSDNCinsnJDJ6cs+6d265dXB5m9WoW7HSqVYuVzXv25G3z5irG7TMZGewxnT6dVdKN4XbjjSzseewYuxfHjQMeeECRr4gELQVX/iotDbj3XuDbb4EXXwRee821LwACq4wMpn798Uf2auYHDuT+nMqVOXJ0330cPbrqKleHnPiQc+mj1FTgjjv4WPny7D21luU8AKBdO+ZUKY9KRIKcgit/ZC2nrs2cGXCLJTscwLRpwPDh7MQwBqhWjcU3O3fmbcWKTDDPulWrxsmM4gcOHOCCiatWsUx9YiIvZng4f27UKPfiXwqsREQUXPklY1gqoUsX4KGHfN2aC+JwAP/7H/Dqq0y9iYxkSa1bblERTr+SlgZs3sySHXFxru355xnlPvMM8M47PLZwYRaYvecerjkZFsbuRBEROScFV75iLUslnDzJv/adW8+eHHrp29fXLcxRfDzw/vucrXfyJL+XT57kxLA9ezhZ8dtv+RaUcuND6elATAwv1I4dLL9Rtizw3ntn94QWKsRq/SVKMH+qWjUultikiSJjERE3GGutr9sAAIiKirJr1671dTO869gx4MsvgSee4Bfa2LGsgJmY6NrCw1liwQ+TjU6c4HfvqlWsJxURweLuERFsbs+enGGvoOoipKUxbykra5njVLo0o9kVK/i7cuIEcOQIZ5L26cMZer/+yotw6BCf5zR7NnDTTZwt8McfLOBZpgwvYLFiKvQlIpJHxph11toc149Tz1V+OHaMVdM/+YQlw1u0AFq3Bh55hFsAOHqUOVNbtnDFkttu83WLCghrGewULsyAZ/9+oH79s4/7+GOWOdi9mz2eWRUtygKdTZsCVaqwl6pqVd6vWpWJbpddxmPr18/5/CIi4jEKrrxt0SIO8cXEcLr6888zITiAHDwIdOzI2X6zZp393S55tGgR8NdfjFR/+okBVZ8+wNdfs4fqyy/Pfk7z5rytX589V+Hh7HkqV45V0J3q1+diiSIi4jMaFvSmtDSgYUMOAX7zDXsXAsy+fcD11zPA+uEH1iuV8xgxgpHoyZOurV49/g4A7KHasoU5Th07AjffDHTvzkBJREQCgoYF89uuXRyOCQ9nsaeqVbP3LvipAweYmL5/P/Og9+/njL+4OGDBAuY4y2nWcpmhP/7gh7NjB681wPsLFzIZLSKCieRZA6fvvtOihiIiBZiCK0/73/84DDhwIPDWW0CDBr5u0XklJgIPPujqWHEqXJjNnzkzIDvdPMNaBktLlnC5oeLFgVGjgKFDueAhwBl1bdown654ceDzz899TmfRTRERKZDyHFwZYyYBiAQwx1r7Wi7HRACYcvr88QDutNamXkxDA8JPP3GmVlQUZwQGgL17WYtq40bguecYIzgLepYrF6QdKwcO8FouWcKZmwcP8vFrrmG+XOPGnIhQuzYLerVuzV5KERER5DG4MsbcBiDEWtvaGDPGGFPfWrszh0PvAjDaWrvAGDMWQBcAsz3QXv/166+sRXDllcDPP3OKu5/75RcWgk9LYywR9Inq1jKa3LiRdZ8qVmSS2XXXAe3bu2bZ3XADNxERkRzkteeqPYCpp+8vBtAGwFnBlbV2TJYfywM47E7jAkZyMmd71akDzJvn94GVtcCHHwKDB3PYb9asIJ+d/8cfwMiR/BBef52V8bdt44cTlF13IiJyMc4ZXBljxgG4NMtD1wKYdPp+HIB653l+KwBlrLWrctk/AMAAAKhRo8YFNtkPFS3KCKVyZb+Z8bVvHzB9OredO7mQctYtPp7DgV98AZQs6evWekFSEnDqVPYCrampHMIDgE8/ZUmEf/5hVdSICNfSLsYAl16a+7lFRETO4ZzBlbU228J2xpj3ATiTS0oAKJTbc40xZQF8COD2c5x/PIDxAEsxXFiT/cjff/MLesAA5ln5kMPB0kk//MCcemdVi8aNOcs/NJSV053bZZcB/fuzSkTAio0FJk9mYBsby2mNO3cyE3/IEBbezCosjL2MhQqxt2rlShbaHDmSBTojInzyNkREpGDJ67DgOnAocBWAKwFsz+kgY0xhcPjwBWvt3pyOCXjWcihw1y6WK8/nHquUFAZQy5ZxW7GC8QXAepNvvMFmFdjhvqlTgXvvZbDUrBnfaKlSXFOvcGEmk11+OZd2CQ93rd3orOv20Ue+bb+IiBRYeQ2uZgJYaoypAqArgJbGmMsB9LHWvpzluAcAXAXgJWPMSwDGWmu/80SD/cZPPwFr1gATJuRLYOVwABs2sHzSwoXA0qWMKwCOYN16K2f6degABPII61ms5YrQGzYA69czH6p1aw7h3XsvZ+1deeXZz2vXjpuIiEg+y3OFdmNMGQCdAPxmrY3xVEMCqkK7tfxyP3mSic9hYV57qbg4YNAgDvcdO8bHGjVi1fT27VkdoHx5r718/ktNZc9TcjIDqQ0b+DkDHM4bNAgYPdqnTRQREfFohXZr7XG4ZgwGp5kz2Yvy+edeDaxiYxlfrF8P3HUX0KkTe6YqV/baS3pPRgbzoY4eZRcbwDX09u5lLYh//uHY5hVXADNmcJJAuXJcj7FpU26NGqmelIiI+D1VaHdHyZKcatenj9de4vBhBlPbtnHG3003ee2lvOd//wMWL2Z0uGkTK5jXqcOJAAAwbhywfDnvV6rE4b4uXVzP//77/G+ziIjIRVJw5Y6OHbl5SXQ0T793L5er69TJay/leQ6Hawri4sXsnWrSBHjgAVcPlNPChZy6GBqqelIiIlJgBPJE/PyXkQF88AETobxkzx7mYe/fz0LvARNYZWRwccLISGbbA8DbbwMnTgC//Qa8/z7Qr1/25POiRTmsqsBKREQKEPVc5cWUKUyorlKFS924KTmZI2Y//cTalmlpru3PP5nTvWgR0KKFB9vuKRs3suEvvsifr7qKb+LkSa7B17ixq9xBsWK+a6eIiIiPKLi6UOnpwKuvMuH6ttvcOsWWLazc8OWXwPHjTEwvX56dN2FhnCTXogXw3/9yJM3v/PEHu9LatHGtw9ewIYtuhYSwHsTttwd4ZVIREZGLo+DqQn31FWe7zZyZ5+Bh6VLguedYELxwYcYgDz7I9YADJg5Zs4aLFUdEAO+95xrK++ILnzZLRETE3wTKV7tvrV4NPPkkh8B69Ljgp2VkAMOHsx7VwYPAO+8wWX3KFNapCpjAauVK9liVLQv8+itQu7avWyQiIuK31HN1ISIjWSLgjTcuOPk6Opq1qX79FbjnHi5zF7ALJM+YAVSoAPzyC1Ctmq9bIyIi4tfyXKHdW/yuQvvhw0x+euutPBeu/Okn17J3Y8YAfft6qY3ecPQo61KtX8+E9MceY37V8ePsuRIREZFzVmgPlIGp/ONwsIemWTNg4kSujpwHr78OdO/ODp516wIosBozhosSli8PdO7MJLGZM7nPGAVWIiIiF0jDgk7WAvfdx26no0eZV7RiRfail+fx4YesUHDXXYzLihb1Yns9bd8+oF494Ikn+J6bNAEuucTXrRIREQk4wR1cJSQATz8NfPIJe2fS0phbdf31nNIXEXHBp/ryS8Ylt9wCTJ7MouN+b+lSZtVfcw3w2mssp6CCniIiIhclEEIA7/nmG2D8eHY31agBfP21W6eZNYudXh06AN9+62eB1cmTrP8QHg6cOsXq8mFhXNdv2DCWg//lFz9rtIiISOAK3pwrazmFr3FjoHp1t0/zyy/AnXeySsPMmX4yFJiSwsb07MlZfs6FkidPZjJYxYrA0KHAf/4DzJ7ty5aKiIgUOMHbXbFiBZdyGTfO7aGwtWtZ9qpePWDOHD8otXDwIKvIT53K2X0VKgAPP+wqn9ChA3vqUlOBWrWAG2/UMKCIiIiHBW9w9fHHQKlSQJ8+bj3d4eA6xGXLAvPn53Pud0ICF0Nes4ZL0lx7LTB4MEsnTJsGdO0K3H03C39mHe5r2JCbiIiIeE1wBlcOB+tY9esHlCjh1ilmzQK2bmWaVpUqnm1erqxlV9nPPzP53hjg0ku51h/ABPyDB5ljJSIiIj4R3EVE09PdSuS2FmjeHDhxAti2zcu54Fu2MD9q+nT+/MQTTOzq1Alo1crt4FBERETcd64iosHXc5WeDsTGMh/Jzaho/nwWCJ0wwcuB1caNLAtRtCh7qsLCgA8+8OILioiIyMUKvtmCP/7I2YEX0Us2YgRzxL1aff2PP5iAHh4OLFnCwEpERET8XvD1XH38MUsRNGni1tOXLuX2/vteTG36/XcuQRMRwVoPtWt76YVERETE04Kr52r7dmDhQuChh9wezxsxgsvv9e/v4bZllZTE3rVff1VgJSIiEmCCq+dqzBgOr7kZGf3+Oyfqvf46qx5clNWrOUR5+DBw5AjXM0xM5HBlu3bA+vVcjkZEREQCSvD0XKWmcgHAnj05LOiGkSOB0qWBRx9148kJCcCMGayeDrAy+uuvs6bDjh1c469WLSAjg/sVWImIiASk4Om5KlyYvUIOh1tP37KFK8r83/+x9ugFy8jgWOLrrwPJycC8ecANN3DB6BdfBIoXd6s9IiIi4p+CJ7gCgDp13HpaQgLw7LOMgwYNysMTDx1ipfSFC4E77gAeeQRo25b7ypZ1qy0iIiLi34IruHLDsmUs5P7PP8Do0Xlc5qZXL+ZWTZgAPPCA1vETEREJAgqucpGUBLz8MvDuu0yFWrKEeebn5XCwUGnhwq6Cn1de6cWWioiIiD9RcHWGjAzWsXr4YVZueOQR4K23LnCVGYcDuPdejh9+8omCKhERkSAU9MFVRgZXmVmyhNtvvwEnT7LM1IIFQMeOF3gia5mQ9dVXwH//68UWi4iIiD8L6uDq5EngqquAv//mzw0aAHfeCVx7LXDTTUDJknk42auvAh99xFmAL73klfaKiIiI/wvq4OrLLxlYffwxcPPNQNWqbp7oo48YXN13H/D220pcFxERCWJBG1xZy7SoqCg3i4Jm1aABcNddwPjxCqxERESCXNAGV8uWAVu3AhMnXsRJjhzhQoOdO3MTERGRoJfn5W+MMZOMMSuMMS9fwLEVjTHr3Wuad40dC0REAL17u3mC9HSgZUvgiy882i4REREJbHkKrowxtwEIsda2BlDFGFP/PE8ZBSDc3cZ5y+HDwPffu6omuGX6dFYWzVPWu4iIiBR0ee25ag9g6un7iwG0ye1AY0wHAAkAYs5xzABjzFpjzNojR47ksSnu+/RTIC2NtazcYi0wahRQvz7Qo4dH2yYiIiKB7Zw5V8aYcQAuzfLQtQAmnb4fB6BeLs8rDGAogFsAzMzt/Nba8QDGA0BUVJS9wDZfFIcDGDcOaN8eiIx08yS//Qb8/jvHFkNCPNk8ERERCXDnDK6stQ9l/dkY8z5cw3wlkHvP1/MAPrbWnjB+Nnvu55+BPXuAN964iJO88w5QrhzHFUVERESyyOuw4Dq4hgKvBLAnl+M6AhhojFkCoIkx5mLm5HnU2LFAxYrArbdexElGjwY+/xwI97t0MhEREfGxvJZimAlgqTGmCoCuAFoaYy4H0Mdamzl70FqbucSxMWaJtba/Jxp7sfbtA376CXj+ea6r7LZ69biJiIiInCFPPVfW2jgwqX0VgOustSettX9mDaxyeE77i2qhB40fz1z0AQPcPEFMDHD77cC2bR5tl4iIiBQcea5zZa09bq2daq3NdRagP0pLY8HQbt2AmjXdPMlHHwEzZiiJXURERHKV5+AqUP3+O3D0KPDII26eICEBGDMGuOUWlmAQERERyUHQLH/TujVzripWdPMEn34KHD8OPPOMR9slIiIiBUvQBFcAUKWKm0/cvh0YMgS45hpGaSIiIiK5CJphwTxzOIDNm3m/QQNg2DBg2jSfNklERET8n4KrM6WmAr/8wh6qq68GoqMBY1i/oXJlX7dORERE/JyCK6eNG4EOHYDSpXm7dy8rjiqgEhERkTwIqpyrs5w8CRw7BtSpA5QsCZw4ATz4INC2LdClC1CihK9bKCIiIgEmuIOrTz8Fnn4a+PtvBlh//OHrFomIiEiAC95hQWuBceOAli2B2rV93RoREREpIIK35+q331hiYfJkX7dERERECpDg7bkaN47J6716+bolIiIiUoAEZ3CVkAD88ANwzz1AeLivWyMiIiIFSHAOCxYvziR2h8PXLREREZECJjiDKwCoUMHXLRAREZECKPiGBRcvZh2r3bt93RIREREpgIIvuPrkE2DrVqBSJV+3RERERAqg4AquDh0CZswA7r1XiewiIiLiFcEVXH32GZCeDgwY4OuWiIiISAEVPMGVwwFMmABcey0QGenr1oiIiEgBFTyzBdPTgcGDgbp1fd0SERERKcCCJ7gqXBgYONDXrRAREZECLniGBUVERETygYIrEREREQ9ScCUiIiLiQQquRERERDxIwZWIiIiIBym4EhEREfEgBVciIiIiHqTgSkRERMSDFFyJiIiIeJCCKxEREREPUnAlIiIi4kHGWuvrNgAAjDFHAOzNh5cqB+BoPryO5I2ui//StfFPui7+SdfFf3n62tS01pbPaYffBFf5xRiz1lob5et2SHa6Lv5L18Y/6br4J10X/5Wf10bDgiIiIiIepOBKRERExIOCMbga7+sGSI50XfyXro1/0nXxT7ou/ivfrk3Q5VyJiIiIeFMw9lyJiIiIeI2CKxEREREPCprgyhgzyRizwhjzsq/bEuyMMRHGmLnGmAXGmBnGmMK6Pv7FGFPRGLP+9H1dGz9hjBljjLnp9H1dFz9gjCljjJljjFlqjPnk9GO6Nj50+v+vpafvhxljfjx9Pe7P7TFPC4rgyhhzG4AQa21rAFWMMfV93aYgdxeA0dbaTgBiAPSGro+/GQUgXP92/Icxpi2AStbaH3Rd/Mo9AL6y1rYFUNIY8yx0bXzGGFMGwOcAip9+6HEAa09fj+7GmJK5POZRQRFcAWgPYOrp+4sBtPFdU8RaO8Zau+D0j+UB3A1dH79hjOkAIAEMfNtD18bnjDFhACYA2GOMuRm6Lv7kGIBLjTGlAVQHUAu6Nr6UAeBOAHGnf24P1/VYASAql8c8KliCq+IAok/fjwNQ0YdtkdOMMa0AlAHwL3R9/IIxpjCAoQCeP/2Q/u34h74A/gTwFoAWAAZC18VfLANQH8ATALYBKAJdG5+x1sZZa09meSin/8O8/v9asARX8QDCT98vgeB5337LGFMWwIcA7oeujz95HsDH1toTp3/WtfEPTQGMt9bGAPgKwG/QdfEXIwE8bK0dDgZXfaBr409y+j/M6/+vBctFXwdX1+yVAPb4rilyundkKoAXrLV7oevjTzoCGGiMWQKgCYCboGvjD3YBqHP6fhQ49KTr4h+KAWhsjAkBcDWAN6Br409y+n7x+ndOUBQRNcaUArAUwCIAXQG0PKPbUPKRMeYR8K+9jacf+gzAYOj6+JXTAVYP6N+Oz51OuP0UHL4IAyeBzIaui88ZY1qA/4fVBLASwO3QvxmfM8Yssda2N8bUBDAHwEIArQG0BFDtzMestRkeff1gCK6AzBkEnQD8drprXfyIro//0rXxT7ou/kvXxr8YY6qAPVU/OwPdnB7z6GsGS3AlIiIikh+CJedKREREJF8ouBIRERHxIAVXIiIiIh6k4EpERETEgxRciYiIiHjQ/wNo9RTTrtZ5UQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "使用测试数据绘制预测结果以及置信区间的曲线,\n",
    "'''\n",
    "###获取预测对象\n",
    "pred2=results.get_prediction()\n",
    "###获取预测结果\n",
    "pred_result2=pred2.predicted_mean\n",
    "###获取预测结果的置信区间\n",
    "conf2=pred2.conf_int(obs=True)\n",
    "###生成pandas的DataFrame对象并按照预测结果进行排序\n",
    "pred_data=np.c_[pred_result2,conf2[:,0],conf2[:,1]]\n",
    "df_pred=pd.DataFrame(pred_data).sort_values(by=0)\n",
    "\n",
    "###绘制预测结果及其置信区间的曲线\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(range(0,100),df_pred[0],color='blue',label='预测值') #回归曲线\n",
    "plt.plot(range(0,100),df_pred[1],linestyle='--',color='r',label='置信区间') #置信上限\n",
    "plt.plot(range(0,100),df_pred[2],linestyle='--',color='r') #置信下限\n",
    "plt.legend(fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### (7) 线性回归模型拟合结果的其他参数\n",
    "包含模型拟合结果对象的属性及其具体计算方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.204191490157404, 1.204191490157404)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###模型的平均平方误差：被解释的平方和/模型自由度\n",
    "results.mse_model,(np.sum((y-np.mean(y))**2)-np.sum(results.resid**2))/results.df_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.001951222764832129, 0.001951222764832129, 0.001951222764832129)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###残差的平均平方误差：未被模型解释的方差/残差自由度\n",
    "results.mse_resid,np.sum(results.resid**2)/(results.df_resid),results.ssr/results.df_resid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.03838274601915249, 0.03838274601915249)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###总平均平方误差：总解释方差/（模型自由度+残差自由度）\n",
    "results.mse_total,np.sum((y-np.mean(y))**2)/(results.df_model+results.df_resid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.18731738542388437, 0.18731738542388437)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###残差平方和：未被解释的方差\n",
    "results.ssr,np.sum(results.resid**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3.612574470472212, 3.612574470472212)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###被解释的平方和或方差\n",
    "results.ess, results.centered_tss-results.ssr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3.7998918558960963, 3.7998918558960963)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###总平方和或总方差\n",
    "results.centered_tss,np.sum((y-np.mean(y))**2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2.2 多元线性回归模型修正"
   ]
  },
  {
   "attachments": {
    "4.%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%902_2.jpg": {
     "image/jpeg": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- #### 示例：\n",
    "![4.%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%902_2.jpg](attachment:4.%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%902_2.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.886</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.878</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   105.0</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 16 Aug 2021</td> <th>  Prob (F-statistic):</th> <td>1.84e-13</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:56:44</td>     <th>  Log-Likelihood:    </th> <td>  2.0347</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    30</td>      <th>  AIC:               </th> <td>   1.931</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    27</td>      <th>  BIC:               </th> <td>   6.134</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     2</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    4.4075</td> <td>    0.722</td> <td>    6.102</td> <td> 0.000</td> <td>    2.925</td> <td>    5.890</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>        <td>    1.5883</td> <td>    0.299</td> <td>    5.304</td> <td> 0.000</td> <td>    0.974</td> <td>    2.203</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>        <td>    0.5635</td> <td>    0.119</td> <td>    4.733</td> <td> 0.000</td> <td>    0.319</td> <td>    0.808</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 1.445</td> <th>  Durbin-Watson:     </th> <td>   1.627</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.486</td> <th>  Jarque-Bera (JB):  </th> <td>   0.487</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.195</td> <th>  Prob(JB):          </th> <td>   0.784</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 3.486</td> <th>  Cond. No.          </th> <td>    115.</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.886\n",
       "Model:                            OLS   Adj. R-squared:                  0.878\n",
       "Method:                 Least Squares   F-statistic:                     105.0\n",
       "Date:                Mon, 16 Aug 2021   Prob (F-statistic):           1.84e-13\n",
       "Time:                        11:56:44   Log-Likelihood:                 2.0347\n",
       "No. Observations:                  30   AIC:                             1.931\n",
       "Df Residuals:                      27   BIC:                             6.134\n",
       "Df Model:                           2                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      4.4075      0.722      6.102      0.000       2.925       5.890\n",
       "x1             1.5883      0.299      5.304      0.000       0.974       2.203\n",
       "x2             0.5635      0.119      4.733      0.000       0.319       0.808\n",
       "==============================================================================\n",
       "Omnibus:                        1.445   Durbin-Watson:                   1.627\n",
       "Prob(Omnibus):                  0.486   Jarque-Bera (JB):                0.487\n",
       "Skew:                           0.195   Prob(JB):                        0.784\n",
       "Kurtosis:                       3.486   Cond. No.                         115.\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "回归模型修正，根据R方和调整后R方进行衡量\n",
    "'''\n",
    "X1=np.array([-0.05, 0.25,0.60,0,   0.25,0.20, 0.15,0.05,-0.15, 0.15,\n",
    "         0.20, 0.10,0.40,0.45,0.35,0.30, 0.50,0.50, 0.40,-0.05,\n",
    "        -0.05,-0.10,0.20,0.10,0.50,0.60,-0.05,0,0.05, 0.55])\n",
    "X2=np.array([5.50,6.75,7.25,5.50,7.00,6.50,6.75,5.25,5.25,6.00,\n",
    "         6.50,6.25,7.00,6.90,6.80,6.80,7.10,7.00,6.80,6.50,\n",
    "         6.25,6.00,6.50,7.00,6.80,6.80,6.50,5.75,5.80,6.80])\n",
    "Y =np.array([ 7.38,8.51,9.52,7.50,9.33,8.28,8.75,7.87,7.10,8.00,\n",
    "         7.89,8.15,9.10,8.86,8.90,8.87,9.26,9.00,8.75,7.95,\n",
    "         7.65,7.27,8.00,8.50,8.75,9.21,8.27,7.67,7.93,9.26])\n",
    "###使用formula公式，更灵活。\n",
    "formula1 = 'y~x1+x2'\n",
    "result1=smf.ols(formula1,{'y':Y,'x1':X1,'x2':X2}).fit()\n",
    "result1.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "f:\\users\\hp\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n",
      "f:\\users\\hp\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n",
      "f:\\users\\hp\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n",
      "f:\\users\\hp\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 通过初步拟合，可看出X2更适合二次曲线拟合\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "plt.figure(figsize=(12,10))\n",
    "plt.subplot(221)\n",
    "sns.regplot(X2,Y,order=2,label='二次多项式')\n",
    "sns.regplot(X2,Y,label='线性')\n",
    "plt.xlabel('X2')\n",
    "plt.ylabel('Y')\n",
    "plt.legend()\n",
    "plt.subplot(222)\n",
    "sns.regplot(X1,Y,order=2,label='二次多项式')\n",
    "sns.regplot(X1,Y,label='线性')\n",
    "plt.xlabel('X1')\n",
    "plt.ylabel('Y')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.921</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.908</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   72.78</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 16 Aug 2021</td> <th>  Prob (F-statistic):</th> <td>2.11e-13</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:56:48</td>     <th>  Log-Likelihood:    </th> <td>  7.5137</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    30</td>      <th>  AIC:               </th> <td>  -5.027</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    25</td>      <th>  BIC:               </th> <td>   1.979</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     4</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "       <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>  <td>   29.1133</td> <td>    7.483</td> <td>    3.890</td> <td> 0.001</td> <td>   13.701</td> <td>   44.525</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>         <td>   11.1342</td> <td>    4.446</td> <td>    2.504</td> <td> 0.019</td> <td>    1.978</td> <td>   20.291</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>         <td>   -7.6080</td> <td>    2.469</td> <td>   -3.081</td> <td> 0.005</td> <td>  -12.693</td> <td>   -2.523</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>I(x2 ** 2)</th> <td>    0.6712</td> <td>    0.203</td> <td>    3.312</td> <td> 0.003</td> <td>    0.254</td> <td>    1.089</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1:x2</th>      <td>   -1.4777</td> <td>    0.667</td> <td>   -2.215</td> <td> 0.036</td> <td>   -2.852</td> <td>   -0.104</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.242</td> <th>  Durbin-Watson:     </th> <td>   1.512</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.886</td> <th>  Jarque-Bera (JB):  </th> <td>   0.148</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.153</td> <th>  Prob(JB):          </th> <td>   0.929</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.843</td> <th>  Cond. No.          </th> <td>9.81e+03</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 9.81e+03. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.921\n",
       "Model:                            OLS   Adj. R-squared:                  0.908\n",
       "Method:                 Least Squares   F-statistic:                     72.78\n",
       "Date:                Mon, 16 Aug 2021   Prob (F-statistic):           2.11e-13\n",
       "Time:                        11:56:48   Log-Likelihood:                 7.5137\n",
       "No. Observations:                  30   AIC:                            -5.027\n",
       "Df Residuals:                      25   BIC:                             1.979\n",
       "Df Model:                           4                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept     29.1133      7.483      3.890      0.001      13.701      44.525\n",
       "x1            11.1342      4.446      2.504      0.019       1.978      20.291\n",
       "x2            -7.6080      2.469     -3.081      0.005     -12.693      -2.523\n",
       "I(x2 ** 2)     0.6712      0.203      3.312      0.003       0.254       1.089\n",
       "x1:x2         -1.4777      0.667     -2.215      0.036      -2.852      -0.104\n",
       "==============================================================================\n",
       "Omnibus:                        0.242   Durbin-Watson:                   1.512\n",
       "Prob(Omnibus):                  0.886   Jarque-Bera (JB):                0.148\n",
       "Skew:                          -0.153   Prob(JB):                        0.929\n",
       "Kurtosis:                       2.843   Cond. No.                     9.81e+03\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 9.81e+03. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 使用X2二次曲线拟合，同时考虑X1和X2的交互作用\n",
    "formula2= 'y~x1+x2+I(x2**2)+x1:x2'\n",
    "result2=smf.ols(formula2,{'y':Y,'x1':X1,'x2':X2}).fit()\n",
    "result2.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模型1的残差方差： 0.05680298141082413\n",
      "\n",
      "模型2的残差方差： 0.04257586069980346\n"
     ]
    }
   ],
   "source": [
    "###两个模型的残差方差对比\n",
    "print('模型1的残差方差：',result1.mse_resid)\n",
    "print('\\n模型2的残差方差：',result2.mse_resid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------"
   ]
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