J.C. Riley, who owns Riley's Auto Repair Shop is trying to determine whether the company's advertising program is successful. He has used a spreadsheet program to estimate the relationship between advertising expenditures and sales dollars. Monthly data for the past two years were entered into the program. The regression results indicated the following:Sales dollars = $169, 000 ? ($200 × Advertising expenditures)Correlation coefficient = ?0.864To J.C., the results imply that advertising is actually reducing sales. Can you help explain to him what might cause the negative relationship between advertising expenditures and sales?

What will be an ideal response?


This is a frequently encountered problem when applying analytical techniques to certain costs. Quite often the advertising expenditures result in sales being generated in the following month or so. In addition, many companies increase their advertising when sales are declining and cut back on advertising when there is capacity business. A better model might be developed by relating this month's sales to last month's advertising.
Similar problems can also exist for repair and maintenance costs. This is because machines are usually given routine repairs and maintenance during slow periods.

Business

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