Exercise

# Fitting a simple model: regression

In this exercise, you'll practice fitting a regression model using data from the Boston housing market. A DataFrame called `boston`

is available in your workspace. It contains many variables of data (stored as columns). Can you find a relationship between the following two variables?

`"AGE"`

: proportion of owner-occupied units built prior to 1940`"RM"`

: average number of rooms per dwelling

Instructions

**100 XP**

- Prepare
`X`

and`y`

DataFrames using the data in`boston`

.`X`

should be the proportion of houses built prior to 1940,`y`

average number of rooms per dwelling.

- Fit a regression model that uses these variables (remember to shape the variables correctly!).
- Don't forget that each variable must be the correct shape for scikit-learn to use it!