A study was made by a retail merchant to determine the relation between weekly advertising expenditures and sales. The following data were recorded: 6. Advertising Costs, S 40 Sales, S 385 20 25 400...


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A study was made by a retail merchant to determine the relation between weekly<br>advertising expenditures and sales. The following data were recorded:<br>6.<br>Advertising Costs, S<br>40<br>Sales, S<br>385<br>20<br>25<br>400<br>395<br>20<br>365<br>30<br>475<br>50<br>440<br>40<br>490<br>20<br>420<br>50<br>560<br>40<br>525<br>25<br>480<br>50<br>510<br>a) Draw a scatter diagram for the above data.<br>b) Calculate the coefficient of correlation, r<br>c) Find the linear regression equation (least-squares equation of the line) to predict<br>weckly sales from advertising expenditures. Add your line-of-best-fit to your scatter<br>diagram.<br>d) Predict the weekly sales when advertising costs are $32.<br>

Extracted text: A study was made by a retail merchant to determine the relation between weekly advertising expenditures and sales. The following data were recorded: 6. Advertising Costs, S 40 Sales, S 385 20 25 400 395 20 365 30 475 50 440 40 490 20 420 50 560 40 525 25 480 50 510 a) Draw a scatter diagram for the above data. b) Calculate the coefficient of correlation, r c) Find the linear regression equation (least-squares equation of the line) to predict weckly sales from advertising expenditures. Add your line-of-best-fit to your scatter diagram. d) Predict the weekly sales when advertising costs are $32.

Jun 08, 2022
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