# Lesson 35: Simple Linear Regression

Simple linear regression is a way of evaluating the relationship between two continuous variables. One variable is regarded as the **predictor variable**,** explanatory variable**, or **independent variable** (*x*). The other variable is regarded as the **response variable**, **outcome variable**, or **dependent variable** (*y*).

For example, we might we interested in investigating the (linear?) relationship between:

- heights and weights
- high school grade point averages and college grade point averages
- speed and gas mileage
- outdoor temperature and evaporation rate
- the Dow Jones industrial average and the consumer confidence index