Exercise

# 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.

Instructions 1/3

**undefined XP**

Make a grid of explanatory data, formed from combinations of the following variables.

`n_convenience`

should take the numbers zero to ten.`house_age_years`

should take the unique values of the`house_age_years`

column of`taiwan_real_estate`

.