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The following data were collected on the study of the relationship between a company’s retail sales and advertising dollars:

Retail Sales ($)Advertising ($)31,31216,46835,99017,56340,65920,78043,77123,65847,25226,37249,35328,01251,28132,16756,47035,30556,65537,19959,63638,002 

a.            
Obtain a linear regression line for the data. (Round your answer to 2 decimal places, the tolerance is +/-0.01.) Retail Sales = _______ + _________ (advertising)

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b.           
Compute a correlation coefficient and determine the strength of the linear relationship. (Round your answer to 2 decimal places, the tolerance is +/-0.01.) Correlation coefficient is ______________. It indicates __________(No, a moderate positive, or a strong positive) linear relationship. (Use not rounded amounts to answer this question.)

 

c.            
Using the linear regression equation, develop a forecast of retail sales for advertising dollars of $40,108. (Round your answer to 2 decimal places, the tolerance is +/-0.01. Do not round intermediate results used to achieve this answer.) Forecast = ________________$

 

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