Exercise

# Regression and residual plots

Linear regression is a useful tool for understanding the relationship between numerical variables. Seaborn has simple but powerful tools for examining these relationships.

For these exercises, we will look at some details from the US Department of Education on 4 year college tuition information and see if there are any interesting insights into which variables might help predict tuition costs.

For these exercises, all data is loaded in the `df`

variable.

Instructions 1/2

**undefined XP**

- Plot a regression plot comparing
`Tuition`

and average SAT scores(`SAT_AVG_ALL`

). - Make sure the values are shown as green triangles.