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.

Deze oefening maakt deel uit van de cursus

Intermediate Regression with statsmodels in Python

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Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Model price vs. house age plus an interaction, no intercept
mdl_readable_inter = ____

# Print the coefficients for mdl_0_to_15
print("mdl_0_to_15 coefficients:", "\n", ____)

# Print the coefficients for mdl_15_to_30
print("mdl_15_to_30 coefficients:", "\n", ____)

# Print the coefficients for mdl_30_to_45
print("mdl_30_to_45 coefficients:", "\n", ____)

# Print the coefficients for mdl_readable_inter
print("\n", "mdl_readable_inter coefficients:", "\n", mdl_readable_inter.params)

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