Solved

Exhibit 15-8

Question 95

Multiple Choice

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 Bath is significant at the 5% level,she A) Rejects ,and concludes that the number of bathrooms significantly influences rent. B) Does not reject ,and concludes that the number of bathrooms significantly influences rent. C) Rejects ,and concludes that the number of bathrooms 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 Bath is significant at the 5% level,she A) Rejects ,and concludes that the number of bathrooms significantly influences rent. B) Does not reject ,and concludes that the number of bathrooms significantly influences rent. C) Rejects ,and concludes that the number of bathrooms does not significantly influence rent. D) Does not reject Refer to Exhibit 15-8.When testing whether Bath 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 Bath is significant at the 5% level,she A) Rejects ,and concludes that the number of bathrooms significantly influences rent. B) Does not reject ,and concludes that the number of bathrooms significantly influences rent. C) Rejects ,and concludes that the number of bathrooms does not significantly influence rent. D) Does not reject ,and concludes that the number of bathrooms 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 Bath is significant at the 5% level,she A) Rejects ,and concludes that the number of bathrooms significantly influences rent. B) Does not reject ,and concludes that the number of bathrooms significantly influences rent. C) Rejects ,and concludes that the number of bathrooms does not significantly influence rent. D) Does not reject ,and concludes that the number of bathrooms 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 Bath is significant at the 5% level,she A) Rejects ,and concludes that the number of bathrooms significantly influences rent. B) Does not reject ,and concludes that the number of bathrooms significantly influences rent. C) Rejects ,and concludes that the number of bathrooms does not significantly influence rent. D) Does not reject ,and concludes that the number of bathrooms does not significantly influence rent.
D) Does not reject

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions

Q47: The test statistic for testing the individual

Q59: A crucial assumption in a regression model

Q91: Refer to the portion of regression results

Q92: Consider the following regression results based on

Q93: A marketing manager examines the relationship between

Q94: When testing r linear restrictions imposed on

Q96: Consider the following regression results based on

Q97: Exhibit 15-8.A real estate analyst believes that

Q98: In regression,the predicted values concerning y are

Q100: Exhibit 15-1.An marketing analyst wants to examine