# Lesson 8: Modeling Non-linear Relationships

### Introduction

Key Learning Goals for this Lesson: |

- Extend simple linear regression to model the relationship between a response variable, Y, and a single predictor variable, X, in a flexible way using polynomial regression, step functions, regression splines, smoothing splines, and local regression.
- Use generalized additive models (GAMs) to flexibly predict Y using several predictors, X
_{1}, ..., X_{p}.
Textbook reading: Chapter 7: Moving Beyond Linearity. |

All the pertinent material for this lesson is contained within the textbook readings.

After completing the reading for this lesson, please finish the Quiz and R Lab on ANGEL (check the course schedule for due dates).