Regression Methods: Model Building and Diagnostics

This lecture covers various aspects of regression methods, including model building, diagnostics, inference, analysis of variance, variable selection, robustness, and estimating functions. Topics include checking linearity, variance, independence, normality, response transformation, leverage, influence, Box-Cox transformation, and an example with Poison data.