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 77 total observations. Estimated Price = 25,570.34 +2643.78 (Bedrooms) +0.2133 (Lot Size) df SS Regression 2 381,672.1250 Residual 74 624,088.2120 Total 76 1,005,760.3370 Answer ANOVA F MS 190,836.0625 22.6280 8433.6245 Significance F 2.1469E-08 Compute the adjusted coefficient of determination for this regression model. Round your answer to four decimal places. Tables Keypad Keyboard Shortcuts
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 77 total observations. Estimated Price = 25,570.34 +2643.78 (Bedrooms) +0.2133 (Lot Size) df SS Regression 2 381,672.1250 Residual 74 624,088.2120 Total 76 1,005,760.3370 Answer ANOVA F MS 190,836.0625 22.6280 8433.6245 Significance F 2.1469E-08 Compute the adjusted coefficient of determination for this regression model. Round your answer to four decimal places. Tables Keypad Keyboard Shortcuts
MATLAB: An Introduction with Applications
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Transcribed Image Text: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
77 total observations.
Estimated Price = 25,570.34 +2643.78 (Bedrooms) +0.2133 (Lot Size)
Answer
Compute the adjusted coefficient of determination for this regression model. Round your answer to four decimal places.
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Regression 2 381,672.1250
F Significance F
190,836.0625 22.6280 2.1469E-08
Residual 74 624,088.2120 8433.6245
Total 76 1,005,760.3370
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