A home appraisal company would like to develop a regression model that would pre

Question

A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age d the in years (X1), the living area of the in for (X2), and the number of bedrooms (X3). The following table shows the results of a best subsets regression produce. The set of independent variables that would be the most appropriate to predict the selling price of a house is the living area of the house in square feet. the age of the house in years and the living area of the house in square feet. the living area of the house in square feet and the number of bedrooms. the age of the house in years the living area of the house square feet, and the number of bedroom. The _____ measures the total variation in the dependent variable in multiple regression sum of squares sum of squares error sum of squares regression total sum of squares

Explanation / Answer

1)as R2 is maximum for X1X2 X3 ; hence last option is correct

2)total sum of squares

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