The city that she should predict that the home is in is given as follows:
Smavile.
<h3>How to predict the city that the home is in?</h3>
We are given the linear regression equations for each town, which predicts the value of a home with a square feet.
Then the prediction of the city is given by the one whose prediction for a input of 2800 square feet gives the least residual relative to 280, that is, the value that has the least absolute difference relative to 280.
For Smaville, the equation is given as follows:
p = 150 + 0.041a.
Hence the estimate of the cost for a estate with 2800 square feet is of:
p = 150 + 0.041(2800) = 264.8.
For Fancyville, the equation is given as follows:
p = 250 + 0.198a
Hence the estimate of the cost for a estate with 2800 square feet is of:
p = 250 + 0.198(2800) = 804.4.
Smavile has the least residual, hence is the prediction.
More can be learned about linear regression at brainly.com/question/29613968
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