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Question: Applications A marketing manager analyzes the

Applications A marketing manager analyzes the relationship between the annual sales of a firm (in $100,000s) and its advertising expenditures (in $10,000s). He collects data from 20 firms and estimates Sales = β0 + β1Advertising + ε. A portion of the regression results is shown in the accompanying table.
Applications A marketing manager analyzes the relationship between the annual sales of a firm (in $100,000s) and its advertising expenditures (in $10,000s). He collects data from 20 firms and estimates Sales = β0 + β1Advertising + ε. A portion of the regression results is shown in the accompanying table.


a. Specify the competing hypotheses in order to determine whether advertising expenditures and sales have a positive linear relationship. 
b. Calculate the value of the test statistic. 
c. At the 5% significance level, do advertising expenditures and sales have a positive linear relationship?

a. Specify the competing hypotheses in order to determine whether advertising expenditures and sales have a positive linear relationship. b. Calculate the value of the test statistic. c. At the 5% significance level, do advertising expenditures and sales have a positive linear relationship?





Transcribed Image Text:

Coefficients Standard Error t Stat p-value Intercept -7.42 1.46 -5.082 7.66E-05 Advertising 0.42 0.05 1.21E-07


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