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Bobby's BBQ restaurant has engaged in a series of promotional activities over recent months in an effort to generate customer interest. Bobby Bruir financial

Bobbys BBQ restaurant has engaged in a series of promotional activities over recent months in an effort to generate customer

ing theTes of promotional activities over recent months in an effort to generate customer intse activities have had an impa 

Bobby's BBQ restaurant has engaged in a series of promotional activities over recent months in an effort to generate customer interest. Bobby Bruir financial manager, wants to know whether these activities have had an impact on sales. Heobtains the following data for the past 10 months: (Click the icon to view the data.) a. Plot the relationship between promotional costs and revenues. b. Estimate the regression equation that captures the relationship between promotional costs and sales revenues. c. Draw the regression line and evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line. d. Within the relevant range, what is the increase in revenues for each $1,000 spent on promotion? Sales Revenue www.000 $700,000 $650,000 $600,000 $550,000 $500,000 $450,000 $400,000 $350,0004 $0 $5,0000,0x5,CD,D,000 Promotional Costs b. Estimate the regression equation that captures the relationship between promotional costs and sales revenues. Estimate the regression equation. (Complete all input fields. Round your answers to the nearest cent.) = X es of promotional activities over recent months in an effort to generate customer int se activities have had an impact on sales. Heobtains the following data for the past i Data Table X osts a res the ng the ase in cures th all inpu Month March April May June July August September October November December Promotional Costs Print 13,500 $ 17,500 8,500 22,000 5,500 13,500 8,500 24,000 14,500 18,500 Done Sales Revenue in the input fields and then click Check Answer. Clear All - 540,000 730,000 590,000 670,000 590,000 670,000 430,000 790,000 590,000 610,000 e regression lin

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