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Exhibit 15-8

question 97

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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 the explanatory variables Bath and Sqft are jointly significant,the p-value associated with the test is 0.0039.At the 5% significance level,she A) Rejects H<sub>0</sub>,and concludes that neither of the explanatory variables is significant in explaining Rent. B) Does not reject H<sub>0</sub>,and concludes that neither of the explanatory variables is significant in explaining Rent. C) Rejects H<sub>0</sub>,and concludes that at least one of the explanatory variables,Bath and/or Sqft,is significant in explaining Rent. D) Does not reject H<sub>0</sub>,and concludes that at least one of the explanatory variables,Bath and/or Sqft,is significant in explaining Rent. .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 the explanatory variables Bath and Sqft are jointly significant,the p-value associated with the test is 0.0039.At the 5% significance level,she A) Rejects H<sub>0</sub>,and concludes that neither of the explanatory variables is significant in explaining Rent. B) Does not reject H<sub>0</sub>,and concludes that neither of the explanatory variables is significant in explaining Rent. C) Rejects H<sub>0</sub>,and concludes that at least one of the explanatory variables,Bath and/or Sqft,is significant in explaining Rent. D) Does not reject H<sub>0</sub>,and concludes that at least one of the explanatory variables,Bath and/or Sqft,is significant in explaining Rent. Refer to Exhibit 15-8.When testing whether the explanatory variables Bath and Sqft are jointly significant,the p-value associated with the test is 0.0039.At the 5% significance level,she


Definitions:

Quantitative Approach

A research strategy focusing on the quantification of data and phenomena, utilizing statistical, mathematical, or numerical analysis.

Daily Activities

Daily activities refer to the routine tasks and actions that an individual performs regularly in a day.

Observational Method

A research technique where subjects are observed in their natural environment without any manipulation by the researcher.

Quantitative

Referring to research focused on numerical data and statistical analysis to understand patterns and relationships.

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