Exercise

# Predicting again

You've followed the prediction workflow several times now with different combinations of explanatory variables. Time to try it once more on the model with three explanatory variables. Here, you'll use the model with 3-way interactions, though the code is the same when using any of the three models from the previous exercise.

`taiwan_real_estate`

and `mdl_price_vs_all_3_way_inter`

are available; `dplyr`

, `tidyr`

and `ggplot2`

are loaded.

Instructions 1/3

**undefined XP**

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

`dist_to_mrt_m`

should take a sequence from zero to eighty in steps of ten, all squared (0, 100, 400, …, 6400).`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`

.