10.3: Assessment & Assumptions

Upcoming deadlines

  • Statistics Reflection 10/6 11:59 PM
  • HW 3 10/13 11:59 PM

Learning Objectives

By the end of the class, students should be able to:

  • describe (adjusted) \(R^2\) and how it relates to model assessment

  • list the four assumptions of MLR

  • explain why we use residual plots to assess the assumptions

  • interpret residual plots

Class prep

Watch these two videos:

Assessing the Model

Regression Assumptions

Slides: Assessment, Assumptions

Optional/supplementary textbook reading: ISLR section 3.2.2 section “Two: Model Fit”; 3.3.3 #1-3 (Non-linearity, correlation of error terms, non-constant variance)

Class materials

Notes/code (qmd) (includes/adds to Tuesday’s notes)

Groups