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Exercise

Interactions with understandable coeffs

The previous model with the interaction term returned coefficients that were a little tricky to interpret. In order clarify what the model is predicting, you can reformulate the model in a way that returns understandable coefficients. For further clarity, you can compare the results to the models on the separate house age categories (mdl_0_to_15, mdl_15_to_30, and mdl_30_to_45).

taiwan_real_estate, mdl_0_to_15, mdl_15_to_30, and mdl_30_to_45 are available.

Instructions 1/2

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  • Fit a linear regression of price_twd_msq versus house_age_years plus an interaction between n_convenience and house_age_years, and no global intercept, using the taiwan_real_estate dataset.
  • For comparison, get the coefficients for the three models for each category: mdl_0_to_15, mdl_15_to_30, and mdl_30_to_45.