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 weekly sales from advertising expenditures. Add your line-of-best-fit to your scatter diagram. d) Predict the weekly sales when advertising costs are $32.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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.
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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