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.
This exercise is part of the course
Intermediate Regression in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample 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