The project involves the multivariate regression analysis of a dataset.
cross-validation least-squares model-selection t-test confidence-intervals outlier-detection multicollinearity multivariate-regression bias-variance simple-linear-regression akaike-information-criterion prediction-intervals adjusted-r-squared r-squared underlying-assumptions categorical-covariates partial-f-test
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Updated
Oct 24, 2020 - R