Exercise

# Visualizing the distribution of residuals

Let's now compute both the predicted score \(\hat{y}\) and the residual \(y - \hat{y}\) for all \(n = 463\) instructors in the `evals`

dataset. Furthermore, you'll plot a histogram of the residuals and see if there are any patterns to the residuals, i.e. your predictive errors.

`model_score_4`

from the previous exercise is available in your workspace.

Instructions 1/2

**undefined XP**

- Apply the function that automates making predictions and computing residuals, and save these values to the dataframe
`model_score_4_points`

.