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SCENARIO 14-4 A Real Estate Builder Wishes to Determine How House Size

Question 172

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SCENARIO 14-4
A real estate builder wishes to determine how house size (House) is influenced by family income (Income) and family size (Size) . House size is measured in hundreds of square feet and income is measured in thousands of dollars. The builder randomly selected 50 families and ran the multiple regression. Partial Microsoft Excel output is provided below:
SCENARIO 14-4 A real estate builder wishes to determine how house size (House)  is influenced by family income (Income)  and family size (Size) . House size is measured in hundreds of square feet and income is measured in thousands of dollars. The builder randomly selected 50 families and ran the multiple regression. Partial Microsoft Excel output is provided below:     Also SSR (X<sub>1</sub> | X<sub>2</sub>)  = 36400.6326 and SSR (X<sub>1</sub> | X<sub>2</sub>)  = 3297.7917 -Referring to Scenario 14-4,which of the following values for the level of significance is the smallest for which the regression model as a whole is significant? A) 0.0005 B) 0.001 C) 0.01 D) 0.05
SCENARIO 14-4 A real estate builder wishes to determine how house size (House)  is influenced by family income (Income)  and family size (Size) . House size is measured in hundreds of square feet and income is measured in thousands of dollars. The builder randomly selected 50 families and ran the multiple regression. Partial Microsoft Excel output is provided below:     Also SSR (X<sub>1</sub> | X<sub>2</sub>)  = 36400.6326 and SSR (X<sub>1</sub> | X<sub>2</sub>)  = 3297.7917 -Referring to Scenario 14-4,which of the following values for the level of significance is the smallest for which the regression model as a whole is significant? A) 0.0005 B) 0.001 C) 0.01 D) 0.05
Also SSR (X1 | X2) = 36400.6326 and SSR (X1 | X2) = 3297.7917
-Referring to Scenario 14-4,which of the following values for the level of significance is the smallest for which the regression model as a whole is significant?


A) 0.0005
B) 0.001
C) 0.01
D) 0.05

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