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
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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