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.
This exercise is part of the course
Introduction to Regression in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample 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
___