MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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.
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Transcribed Image 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.
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