Multivariate Data

This part extends the analysis to multivariate settings with multiple predictors. It introduces multiple regression, model interpretation, local extensions, and key design issues for observational and experimental data. The goal is to build practical modeling skills while maintaining careful interpretation and humility about what models can and cannot establish.