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  3. Intermediate Regression with statsmodels in Python

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 as fitted models.

Instructions 1/2

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  • Print the unadjusted and adjusted coefficients of determination for mdl_price_vs_conv.
  • Do the same for mdl_price_vs_age and mdl_price_vs_both.