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  3. Modeling with Data in the Tidyverse

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

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