Predicting with interactions
As with every other regression model you've created, the fun part is making predictions. Fortunately, the code flow for this case is the same as the one without interactions—R can handle calculating the interactions without any extra prompting from you. The only thing you need to remember is the trick for getting combinations of explanatory variables.
mdl_price_vs_both_inter is available; dplyr and ggplot2 are loaded.
Cet exercice fait partie du cours
Intermediate Regression in R
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Make a grid of explanatory data
explanatory_data <- ___(
# Set n_convenience to zero to ten
___,
# Set house_age_years to the unique values of that variable
___
)
# See the result
explanatory_data