**Click here to read the chapter (link works only for UC affiliates)**

**Lecture Slides: **Powerpoint PDF

**Learning Objectives**

- Explain what a simple regression model is
- Fit a simple regression model using the least-squares criterion
- Compute R-squared to measure how well the model fits the data
- Interpret the results from a simple regression model

**Examples**

**What We Learned**

- How to solve the least-squares problem to fit a simple regression model.
- How to apply the least-squares formula using a spreadsheet.
- R-squared is a useful characteristic of your model, but maximizing R-squared is often not the objective of your analysis