Exercise

Making predictions using size and waterfront

Using your model for log10_price as a function of log10_size and the binary variable waterfront, let's make some predictions! Say you have the two following "new" houses, what would you predict their prices to be in dollars?

  • House A: log10_size = 2.9 that has a view of the waterfront
  • House B: log10_size = 3.1 that does not have a view of the waterfront

We make the corresponding visual predictions below:

Instructions

100 XP

After running the code on line 2 to get the regression table based on model_price_4, compute the predicted prices for both houses. First you'll use an equation based on values in this regression table to get a predicted value in log10 dollars, then raise 10 to this predicted value to get a predicted value in dollars.