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.
This exercise is part of the course
Modeling with Data in the Tidyverse
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate predictions and residuals
model_score_4_points <- ___
model_score_4_points