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2. The regression model Y 187.8 12.622X1i 16.227X2i predicts sales (in thousands

ID: 3257264 • Letter: 2

Question

2. The regression model Y 187.8 12.622X1i 16.227X2i predicts sales (in thousands of dollars) based on radio advertising (in thousands of dollar Print Xli, and newspaper advertising (in thousands of dollars), X n city i. The data from which the model was constructed are provided. Use the regression model and the data to complete parts (a) through (c) below. 3 Click the icon to view the table of data. 4 Click the icon to see the table of critical values of the Durbin-Watson statistic a. Perform a residual analysis on the results. Plot the residuals versus Yi. Choose the correct graph below. O B. O C. O D. 400- 400 400 400 -400 TTTT TTTTT -400 -400 -400 1700 700 1700 1700 1700 700 700 700 Predicted Y Predicted Y Predicted Y Predicted Y Plot the residuals versus Xli. Choose the correct graph below. O B. O C. O D. 400 400 400 400 -400 -400 -400 -400 70 70 70 70 Radio ($thsnds) Radio ($thsnds) Radio ($thsnds) Radio ($thsnds)

Explanation / Answer

Question 2 :

a.) Residual vs Yi

Answer (C)

Residual vs Xi

Answer (D)

Residual vs X2

Answer (D)

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