Month Ticket Revenues Promotional Costs April May $200,000 $52,000 270,000 65,000 June 320,000 80,000 July 480,000 90,000 August September 430,000 100,000 450,000 110,000 October 540,000 120,000 November 670,000 180,000 December 751,000 197,000 She estimates the following regression equation: Ticket revenues = $65,583 + ($3.54 × Promotional costs) 1. Plot the relationship between promotional costs and ticket revenues. Also draw the regression line and evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line. 2. Use the high-low method to compute the function relating promotional costs and revenues. 3. Using (a) the regression equation and (b) the high-low equation, what is the increase in revenues for each $10,000 spent on promotional costs within the relevant range? Which method should Catherine use to predict the effect of promotional costs on ticket revenues? Explain briefly. Required
Month Ticket Revenues Promotional Costs April May $200,000 $52,000 270,000 65,000 June 320,000 80,000 July 480,000 90,000 August September 430,000 100,000 450,000 110,000 October 540,000 120,000 November 670,000 180,000 December 751,000 197,000 She estimates the following regression equation: Ticket revenues = $65,583 + ($3.54 × Promotional costs) 1. Plot the relationship between promotional costs and ticket revenues. Also draw the regression line and evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line. 2. Use the high-low method to compute the function relating promotional costs and revenues. 3. Using (a) the regression equation and (b) the high-low equation, what is the increase in revenues for each $10,000 spent on promotional costs within the relevant range? Which method should Catherine use to predict the effect of promotional costs on ticket revenues? Explain briefly. Required
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
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Question
High-low method; regression analysis. (CIMA, adapted) Catherine McCarthy, sales manager of Baxter Arenas, is checking to see if there is any relationship between promotional costs and ticket revenues at the sports stadium. She obtains the following data for the past 9 months:

Transcribed Image Text:Month
Ticket Revenues
Promotional Costs
April
May
$200,000
$52,000
270,000
65,000
June
320,000
80,000
July
480,000
90,000
August
September
430,000
100,000
450,000
110,000
October
540,000
120,000
November
670,000
180,000
December
751,000
197,000
She estimates the following regression equation:
Ticket revenues = $65,583 + ($3.54 × Promotional costs)
1. Plot the relationship between promotional costs and ticket revenues. Also draw the regression line and
evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line.
2. Use the high-low method to compute the function relating promotional costs and revenues.
3. Using (a) the regression equation and (b) the high-low equation, what is the increase in revenues for
each $10,000 spent on promotional costs within the relevant range? Which method should Catherine
use to predict the effect of promotional costs on ticket revenues? Explain briefly.
Required
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