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A home appraisal company would like to develop a regression model that would predict the selling ...

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A home appraisal company would like to develop a regression model that would predict the selling ...

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 (X1), the living area of the house in square feet (X2) and the number of bedrooms (X3). The following table shows the results of a best subsets regression procedure.

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 in square feet, and the number of bedrooms

Textbook

Business Statistics

Edition: 2^nd

Author: Donnelly

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leilochkaa

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More solutions for this book are available here

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cherimcd91 Author

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Thanks

IvanaVR

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Smart ... Thanks!

djeghri

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Good timing, thanks!

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