Consider the following ANOVA table for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house and the size of the lot on which the house was built (in square feet). There were 7575 total observations.   Estimated Price=25,356.83+2776.31(Bedrooms)+0.2478(Lot Size)Estimated Price=25,356.83+2776.31(Bedrooms)+0.2478(Lot Size)   ANOVA   dfdf SSSS MSMS F� Significance F� Regression 22 302,698.1946302,698.1946 151,349.0973151,349.0973 16.033416.0334 1.7407E-061.7407E-06 Residual 7272 679,651.5550679,651.5550 9439.60499439.6049     Total 7474 982,349.7496982,349.7496       Compute the adjusted coefficient of determination for this regression model. Round your answer to four decimal places.

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Consider the following ANOVA table for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house and the size of the lot on which the house was built (in square feet). There were 7575 total observations.
 

Estimated Price=25,356.83+2776.31(Bedrooms)+0.2478(Lot Size)Estimated Price=25,356.83+2776.31(Bedrooms)+0.2478(Lot Size)

 

ANOVA

  dfdf SSSS MSMS F� Significance F�
Regression 22 302,698.1946302,698.1946 151,349.0973151,349.0973 16.033416.0334 1.7407E-061.7407E-06
Residual 7272 679,651.5550679,651.5550 9439.60499439.6049    
Total 7474 982,349.7496982,349.7496      


Compute the adjusted coefficient of determination for this regression model. Round your answer to four decimal places.

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