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Exercise

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.

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  • Get the unadjusted and adjusted coefficients of determination for mdl_price_vs_conv by glancing at the model, then selecting the r.squared and adj.r.squared values.
  • Do the same for mdl_price_vs_age and mdl_price_vs_both.
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