Question (a)
Predicted Company Sales = 3.962 + 0.040451 * Indistry Sales
Question (b)
Coefficient of Determination is the R-square value which is 0.643
It implies that 64.3% of variation in Company Sales data is explained by Industry Sales variable
A good R-square value is the one with value greater than 0.5. Here the R-square value is 0.653 implies the model is a good fit of the fit but not a perfect fit
Question (c)
Null Hypothesis Ho : There exists no linear relationship between Company Sales and Industry Sales which is r = 0
Alternate Hypothesis H1 : There exists linear relationship between Company Sales and Industry Sales which is r 0
Question (d)
The test-statistic is F value from the ANOVA table. Here test-statistic is 25.27
If the test-statistic falls in the crtiical region, we reject the Null Hypothesis else we fail to reject the Null Hypothesis
Question (e)
The p-value of test-statistic is the Significance F value from the ANOVA table which is 0.000
If the p-value of test-statistic or Significance F value is less than the significance level or value of 0.05, we reject the Null Hypothesis, else we fail to reject the Null Hypothesis
Here p-value of test-statistic or the Significance F value is 0.000 which is less than 0.05, Hence we reject the Null Hypothesis
So the conclusion is There exists linear relationship between Company Sales and Industry Sales
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Q3. (15 points) The managing partner of an advertising agency believes that his company's sales are...
TABLE 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel’s Data Analysis tool to analyze the last 4 years of quarterly data (i.e., n = 16) with the following results: Regression Statistics Multiple R 0.802 R Square 0.643 Adjusted R Square 0.618 Standard Error SYX 0.9224 Observations 16 ANOVA df SS MS F Sig.F Regression 1 21.497 21.497 25.27 0.000 Error 14 11.912 0.851 Total 15...
Question 8 (4 points) TABLE 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel's Data Analysis tool to analyze the last 4 years of quarterly data (i.e., n = 16) with the following results: Regression Statistics Multiple R 0.78 R Square 0.6084 Adjusted R Square 0.6012 Standard Error SYX 0.9224 Observations 16 ANOVA df Regression 1 Error 14 Total 15 ss MSF Sig.F 21.497 21.497 25.27...
The managing partner of an advertising agency believes that his company's sales are related to the industry sales. He uses Microsoft Excel's Data Analysis tool to analyze the last 4 years of quarterly data (i.e., n = 16) with the following results: Regression Statistics Multiple R 0.802 R Square 0.643 Adjusted R Square 0.618 Standard Error SYX 0.9224 Observations 16 ANOVA df Regression 1 Error 14 Total 15 SS MS F Sig.F 31.497 21.497 25.27 0.000 21.912 0.851 53.409 Predictor...
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