Different levels of interaction
Once you have three explanatory variables, the number of options for specifying interactions increases. You can specify no interactions. You can specify 2-way interactions, which gives you model coefficients for each pair of variables. The third option is to specify all the interactions, which means the three 2-way interactions and the interaction between all three explanatory variables.
As the number of explanatory variables increases further, the number of interaction possibilities rapidly increases.
taiwan_real_estate is available.
Cet exercice fait partie du cours
Intermediate Regression with statsmodels in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Model price vs. no. of conv. stores, sqrt dist. to MRT station & house age, no global intercept, no interactions
mdl_price_vs_all_no_inter = ____
# See the result
print(mdl_price_vs_all_no_inter.params)