Exercise

Comparing residual standard error

The other common metric for assessing model fit is the residual standard error (RSE), which measures the typical size of the residuals.

In the last exercise you saw how including both explanatory variables into the model increased the coefficient of determination. How do you think using both explanatory variables will change the RSE?

mdl_price_vs_conv, mdl_price_vs_age, and mdl_price_vs_both are available; dplyr and broom are loaded.

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Get the residual standard error for mdl_price_vs_conv by glancing at the model, then pulling the sigma value.
Do the same for mdl_price_vs_age.
Do the same for mdl_price_vs_both.