Title: A home appraisal company would like to develop a regression model that would predict the selling ...
Post by: tweedleasasin on Dec 30, 2021
Use the following information to answer the question(s) below.
A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age of the house in years (Age), the living area of the house in square feet (Living Area) and the number of bedrooms (Bedrooms). The following Excel output shows the partially completed regression output from a random sample of homes that have recently sold.
The predicted selling price for a home that is 12 years of age, has 2,500 square feet of living area, and has four bedrooms is ________.
▸ $395,240
▸ $401,398
▸ $410,366
▸ $443,747
A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age of the house in years (Age), the living area of the house in square feet (Living Area) and the number of bedrooms (Bedrooms). The following Excel output shows the partially completed regression output from a random sample of homes that have recently sold.
The predicted selling price for a home that is 12 years of age, has 2,500 square feet of living area, and has four bedrooms is ________.
▸ $395,240
▸ $401,398
▸ $410,366
▸ $443,747
Title: A home appraisal company would like to develop a regression model that would predict the selling ...
Post by: Tim0301 on Dec 30, 2021
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