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Inference in simple and multiple linear regression, estimation of model parameters, testing, and prediction. Residual analysis, diagnostics and remedial measures. Multicollinearity. Model building, stepwise, and other model selection methods. Weighted least squares. Models with qualitative independent variables. Analysis of variance. Orthogonal contrasts; multiple comparison tests. Ridge Regression; Lasso Regression.