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steve751 steve751
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2 years ago
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 sum of squares error for this regression model is ________.

▸ 12,236,421,969.1

▸ 14,263,134,094.3

▸ 36,709,265,906.7

▸ 50,972,400,000.0
Textbook 
Business Statistics

Business Statistics


Edition: 2nd
Author:
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racmin9racmin9
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2 years ago
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