Reference no: EM13600623

High-low method; regression analysis. (CIMA, adapted) Anna Martinez, the financial manager at the Casa real restaurant, is checking to see if there is any relationship between newspaper advertising and sales revenues at the restaurant. She obtains the following data for the past 10 months:

Month Revenues Advertising cost

• March $50,000 $2,000
• April 70,000 3,000
• May 55,000 1,500
• June 65,000 3,500
• July 55,000 1,000
• August 65,000 2,000
• September 45,000 1,500
• October 80,000 4,000
• November 55,000 2,500
• December 60,000 2,500

she estimates the following regression equation:
Monthly revenues = $39,502 + ($8.723 x advertising costs)
Required
1. Plot the relationship between advertising costs and revenues.
2. Draw the regression line and evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line.
3. Use the high-low method to compute function , relating advertising costs and revenue.
4. Using (a) the regression equation and (b) the high-low equation, what is the increase in revenuew for each $1,000 spent on advertising within the relevant range? Which method should Martinez to predict the effect of advertising costs on revenues? Explain briefly.