STAC67 Fall 2026 - Regression Analysis
Regression is one of the most widely used statistical techniques across the sciences, social sciences, and industry. This course develops both its theory and its practice: how regression models are built and justified, and how to analyse data when they apply. We begin with simple linear regression, then extend to multiple regression in matrix form, and close with what to do when the standard assumptions fail: diagnostics, model selection and validation, and remedial measures. All computation is in R.