Exercise

The limits of prediction

In the last exercise you made predictions on some sensible, could-happen-in-real-life, situations. That is, the cases when the number of nearby convenience stores were between zero and ten. To test the limits of the model's ability to predict, try some impossible situations.

Use the console to try predicting house prices from mdl_price_vs_conv when there are -1 convenience stores. Do the same for 2.5 convenience stores. What happens in each case?

mdl_price_vs_conv is available and dplyr is loaded.

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Create some impossible explanatory data. Define a tibble with one column, n_convenience, set to minus one, assigning to minus_one. Create another with n_convenience set to two point five, assigning to two_pt_five.