Comparing coefficients of determination

Recall that the coefficient of determination is a measure of how well the linear regression line fits the observed values. An important motivation for including several explanatory variables in a linear regression is that you can improve the fit compared to considering only a single explanatory variable.

Here you'll compare the coefficient of determination for the three Taiwan house price models, to see which gives the best result.

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

This exercise is part of the course

Intermediate Regression in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

mdl_price_vs_conv %>% 
  # Get the model-level coefficients
  ___ %>% 
  # Select the coeffs of determination
  ___

# Get the coeffs of determination for mdl_price_vs_age
mdl_price_vs_age %>% 
  ___ %>% 
  ___

# Get the coeffs of determination for mdl_price_vs_both
mdl_price_vs_both %>% 
  ___ %>% 
  ___

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