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

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!

Take Hint (-30 XP)

Exercise

Fitting a simple model: regression

Instructions