Exercise

# Fitting a regression with a numerical x

Let's now explicity quantify the linear relationship between `score`

and `bty_avg`

using linear regression. You will do this by first "fitting" the model. Then you will get the *regression table*, a standard output in many statistical software packages. Finally, based on the output of `get_regression_table()`

, which interpretation of the slope coefficient is correct?

Instructions 1/3

**undefined XP**

Fit a linear regression model between score and average beauty using the `lm()`

function and save this model to `model_score_2`

.