After completing this module, you should be able to ...

- Describe the purposes of regression.
- Describe the criteria used to determine the best-fit line to a set of bivariate data.
- Describe the assumptions surrounding the best-fit criteria.
- Identify the response and explanatory variables.
- Describe the equation of a line and what the slope and intercept "mean."
- Make appropriate predictions using the best-fit line.
- Describe the meaning of the coefficient of determination.

## Preparation for Class

Use the materials below to answer the questions on this preparation guide.

- Reading
- Response and Explanatory Variables: A [
*between 1:00 and 2:28*]**AND**B [*stop at 6:18*] - Introduction to Regression [14 mins]
- R-Squared [5 mins]
- Linear Regression in R [8 mins]
- Regression Questions [10 mins]
- Assumptions [3 mins]