Model Checking and Residuals

This lecture covers the concept of model checking in regression analysis, focusing on the assessment of model adequacy through overall tests and regression diagnostics. It explains the use of residuals, leverage, and the Cook statistic to evaluate model fit. Additionally, it discusses deviance and Pearson residuals, along with their standardized versions, for various models. The lecture emphasizes the importance of diagnostics in ensuring the validity of regression models and provides insights into handling different types of data and model structures.