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Exhibit 15-8

Question 108

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Exhibit 15-8.A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $) ,the number of bedrooms (x1) ,the number of bathrooms (x2) ,and its square footage (x3) .She estimates the following model: Exhibit 15-8.A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $) ,the number of bedrooms (x<sub>1</sub>) ,the number of bathrooms (x<sub>2</sub>) ,and its square footage (x<sub>3</sub>) .She estimates the following model: .The following table shows a portion of the regression results. Refer to Exhibit 15-8.When testing whether Bed is significant at the 5% level,she A) Rejects ,and concludes that the number of bedrooms significantly influences rent. B) Does not reject ,and concludes that the number of bedrooms significantly influences rent. C) Rejects ,and concludes that the number of bedrooms does not significantly influence rent. D) Does not reject .The following table shows a portion of the regression results. Exhibit 15-8.A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $) ,the number of bedrooms (x<sub>1</sub>) ,the number of bathrooms (x<sub>2</sub>) ,and its square footage (x<sub>3</sub>) .She estimates the following model: .The following table shows a portion of the regression results. Refer to Exhibit 15-8.When testing whether Bed is significant at the 5% level,she A) Rejects ,and concludes that the number of bedrooms significantly influences rent. B) Does not reject ,and concludes that the number of bedrooms significantly influences rent. C) Rejects ,and concludes that the number of bedrooms does not significantly influence rent. D) Does not reject Refer to Exhibit 15-8.When testing whether Bed is significant at the 5% level,she


A) Rejects Exhibit 15-8.A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $) ,the number of bedrooms (x<sub>1</sub>) ,the number of bathrooms (x<sub>2</sub>) ,and its square footage (x<sub>3</sub>) .She estimates the following model: .The following table shows a portion of the regression results. Refer to Exhibit 15-8.When testing whether Bed is significant at the 5% level,she A) Rejects ,and concludes that the number of bedrooms significantly influences rent. B) Does not reject ,and concludes that the number of bedrooms significantly influences rent. C) Rejects ,and concludes that the number of bedrooms does not significantly influence rent. D) Does not reject ,and concludes that the number of bedrooms significantly influences rent.
B) Does not reject Exhibit 15-8.A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $) ,the number of bedrooms (x<sub>1</sub>) ,the number of bathrooms (x<sub>2</sub>) ,and its square footage (x<sub>3</sub>) .She estimates the following model: .The following table shows a portion of the regression results. Refer to Exhibit 15-8.When testing whether Bed is significant at the 5% level,she A) Rejects ,and concludes that the number of bedrooms significantly influences rent. B) Does not reject ,and concludes that the number of bedrooms significantly influences rent. C) Rejects ,and concludes that the number of bedrooms does not significantly influence rent. D) Does not reject ,and concludes that the number of bedrooms significantly influences rent.
C) Rejects Exhibit 15-8.A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $) ,the number of bedrooms (x<sub>1</sub>) ,the number of bathrooms (x<sub>2</sub>) ,and its square footage (x<sub>3</sub>) .She estimates the following model: .The following table shows a portion of the regression results. Refer to Exhibit 15-8.When testing whether Bed is significant at the 5% level,she A) Rejects ,and concludes that the number of bedrooms significantly influences rent. B) Does not reject ,and concludes that the number of bedrooms significantly influences rent. C) Rejects ,and concludes that the number of bedrooms does not significantly influence rent. D) Does not reject ,and concludes that the number of bedrooms does not significantly influence rent.
D) Does not reject

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