The advertising manager of the Jarvis Company wants to know if the company's advertising program is successful.

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The advertising manager of the Jarvis Company wants to know if the company's advertising program is successful. The manager used a pocket calculator to estimate the relation between advertising expenditures (the independent variable) and sales dollars. Monthly data for the past two years were entered into the calculator. The regression results indicated the following equation:

Sales dollars - $845,000 - ($520 x Advertising)

Correlation coefficient = - .902 The advertising manager of the Jarvis Company wants to know if the company's advertising program is successful. The manager used a pocket calculator to estimate the relation between advertising expenditures (the independent variable) and sales dollars. Monthly data for the past two years were entered into the calculator. The regression results indicated the following equation:
Sales dollars - $845,000 - ($520 x Advertising)
Correlation coefficient = - .902

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