Question

The business problem facing a consumer products company is to measure the effectiveness of different types of advertising media in the promotion of its products. Specifically, the company is interested in the effectiveness of radio advertising in thousands of dollars ($X_1$) and newspaper advertising in thousands of dollars ($X_2$) on the sales in thousands of dollars (Y). Data were collected from a sample of 22 cities. The following is the ANOVA table for the regression model: Significance df SS MS F F Regression 2 2028032.69 1014016.345 40.15823 Residual 19 Total 21 Also, $SSR(x_1) = 1216940$ and $SSR(x_2) = 632259.4483$ From the data above answer the following 3 questions: 11. At the 0.05 level of significance, we want to test whether there is evidence that the newspaper advertising makes a significant contribution to the regression model. The test statistic is: a. 32.12 b. 55.28 c. 45.33 d. 31.07 e. 39.09

          The business problem facing a consumer products company is to measure the effectiveness of
different types of advertising media in the promotion of its products. Specifically, the company is
interested in the effectiveness of radio advertising in thousands of dollars ($X_1$) and newspaper
advertising in thousands of dollars ($X_2$) on the sales in thousands of dollars (Y). Data were
collected from a sample of 22 cities. The following is the ANOVA table for the regression
model:
Significance
df	SS	MS	F	F
Regression	2	2028032.69	1014016.345	40.15823
Residual	19
Total	21
Also, $SSR(x_1) = 1216940$ and $SSR(x_2) = 632259.4483$
From the data above answer the following 3 questions:
11. At the 0.05 level of significance, we want to test whether there is evidence that the
newspaper advertising makes a significant contribution to the regression model. The test
statistic is:
a. 32.12
b. 55.28
c. 45.33
d. 31.07
e. 39.09

The business problem facing a consumer products company is to measure the effectiveness of
different types of advertising media in the promotion of its products. Specifically, the company is
interested in the effectiveness of radio advertising in thousands of dollars (X1) and newspaper
advertising in thousands of dollars (X2) on the sales in thousands of dollars (Y). Data were
collected from a sample of 22 cities. The following is the ANOVA table for the regression
model:
Significance
df SS MS F F
Regression 2 2028032.69 1014016.345 40.15823
Residual 19
Total 21
Also, SSR(x1) = 1216940 and SSR(x2) = 632259.4483
From the data above answer the following 3 questions:
11. At the 0.05 level of significance, we want to test whether there is evidence that the
newspaper advertising makes a significant contribution to the regression model. The test
statistic is:
a. 32.12
b. 55.28
c. 45.33
d. 31.07
e. 39.09

Added by Robert D.

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