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

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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,the partial F test for H<sub>0</sub> : Variable X<sub>1</sub> does not significantly improve the model after variable X<sub>2</sub> has been included H<sub>1</sub> : Variable X<sub>1</sub> significantly improves the model after variable X<sub>2</sub> has been included has_____ and _____degrees of freedom.
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,the partial F test for H<sub>0</sub> : Variable X<sub>1</sub> does not significantly improve the model after variable X<sub>2</sub> has been included H<sub>1</sub> : Variable X<sub>1</sub> significantly improves the model after variable X<sub>2</sub> has been included has_____ and _____degrees of freedom.
Also SSR (X1 | X2) = 36400.6326 and SSR (X1 | X2) = 3297.7917
-Referring to Scenario 14-4,the partial F test for
H0 : Variable X1 does not significantly improve the model after variable X2 has been included
H1 : Variable X1 significantly improves the model after variable X2 has been included has_____ and _____degrees of freedom.

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