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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

Differentiate between the use and purpose of exponential smoothing and moving averages.
Recognize and correct for the presence of autocorrelation in time series data.
Distinguish between the types of fluctuations in time series data and their causes.
Evaluate the effectiveness of time series forecasting methods through the analysis of residual plots.

Definitions:

Sales

The total amount of revenue generated from selling goods or services over a given period.

Retained Earnings

Retained earnings represent the portion of a company's net income that is kept within the company after dividends are paid to shareholders, used for reinvestment or debt payment.

December

The Gregorian calendar's final and twelfth month marks the end of the year.

Raw Materials

The basic materials that are processed or used to manufacture goods.

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