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Residual standard error

Residual standard error (RSE) is a measure of the typical size of the residuals. Equivalently, it's a measure of how badly wrong you can expect predictions to be. Smaller numbers are better, with zero being a perfect fit to the data.

Again, you'll look at the models from the advertising pipeline, mdl_click_vs_impression_orig and mdl_click_vs_impression_trans. broom is loaded.

Cet exercice fait partie du cours

Introduction to Regression in R

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Get RSE for mdl_click_vs_impression_orig
mdl_click_vs_impression_orig %>% 
  # Get the model-level details
  ___ %>% 
  # Pull out sigma
  ___

# Do the same for the transformed model
___
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