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Automating predictions on "new" houses

Let's now repeat what you did in the last exercise, but in an automated fashion assuming the information on these "new" houses is saved in a dataframe.

Your model for log10_price as a function of log10_size and the binary variable waterfront (model_price_4) is available in your workspace, and so is new_houses_2, a dataframe with data on 2 new houses. While not so beneficial with only 2 "new" houses, this will save a lot of work if you had 2000 "new" houses.

This exercise is part of the course

Modeling with Data in the Tidyverse

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# View the "new" houses
new_houses_2

# Get predictions on "new" houses
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