# Lecture 6: Multiple Linear Regression, Polynomial Regression and Model Selection

Key Word(s): Multiple Linear Regression, Feature Selection, Model Selection, Polynomial Regression, Categorical Predictors, Interaction Terms, Collinearity, Hypothesis Testing, Overfitting, Cross-Validation (CV), Information Criteria (AIC/BIC)

## Slides

- PDF | Lecture 6: Multiple Linear Regression, Polynomial Regression and Model Selection
- PPTX | Lecture 6: Multiple Linear Regression, Polynomial Regression and Model Selection
- PDF | Standard Section 4: Model selection