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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,at the 0.01 level of significance,what conclusion should the builder reach regarding the inclusion of Income in the regression model? A) Income is significant in explaining house size and should be included in the model because its p-value is less than 0.01. B) Income is significant in explaining house size and should be included in the model because its p-value is more than 0.01. C) Income is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01. D) Income is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.
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,at the 0.01 level of significance,what conclusion should the builder reach regarding the inclusion of Income in the regression model? A) Income is significant in explaining house size and should be included in the model because its p-value is less than 0.01. B) Income is significant in explaining house size and should be included in the model because its p-value is more than 0.01. C) Income is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01. D) Income is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.
Also SSR (X1 | X2) = 36400.6326 and SSR (X1 | X2) = 3297.7917
-Referring to Scenario 14-4,at the 0.01 level of significance,what conclusion should the builder reach regarding the inclusion of Income in the regression model?

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Definitions:

Interpersonal Space

The physical distance maintained between individuals during social interactions, influenced by cultural norms and personal preferences.

Territoriality

An organism's instinctive or learned defensive reaction to a perceived invasion of its home or space.

Personal-Space Zones

The physical distances individuals prefer to maintain between themselves and others in various social and interpersonal contexts.

Proxemics

The study of how individuals use space and physical distance in communication, reflecting cultural norms, personal preferences, and social dynamics.

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