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.
Diese Übung ist Teil des Kurses
Intermediate Regression in R
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
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 %>%
___ %>%
___