Chapter 13: Multiple Regression

Use several predictors in one regression model.

Learning Goals

• Connect regression to the machine-learning workflow.
• Describe training, validation, and testing roles.
• Interpret coefficients with other predictors held fixed.
• Evaluate model performance with held-out data.

Chapter Flow

• Machine-learning framing
• Linear regression review
• Multiple regression

What To Watch For

• The main concept introduced in each section
• The code pattern that supports the concept
• The management question the method helps answer

Carry Forward

• Use the section practice exercises to check runnable code skills.
• Keep the notebook examples runnable.
• Connect each method to interpretation, not just syntax.
• Use the glossary terms when explaining results.