Basics Of Engineering Economy
Basics Of Engineering Economy
2nd Edition
ISBN: 9780073376356
Author: Leland Blank, Anthony Tarquin
Publisher: MCGRAW-HILL HIGHER EDUCATION
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Luke used regression analysis to fit quadratic relations to monthly revenue, TR, and total cost, TC, data with the following results, where Q is quantity. TR= -0.008Q² + 32Q TC = 0.005Q² +2.2Q + 10 The maximum profit occurs when Q = Blank 1 units (round off to whole number).
An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume (units) Total Cost ($) 400 4,000 450 5,000 550 5,400 600 5,900 700 6,400 750 7,000 a. Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. Do not round intermediate calculations. Compute b1 and bo (to 1 decimal). bị bo Complete the estimated regression equation (to 1 decimal). Do not round intermediate calculations b. What is the variable cost per unit produced (to 2 decimal)? Do not round intermediate calculations 2$ c. Compute the coefficient of determination (to 3…
Luke used regression analysis to fit quadratic relations to monthly revenue, TR, and total cost, TC, data with the following results, where Q is quantity. TR = -0.008Q² + 32Q TC = 0.005Q² +2.2Q + 10 Given the computed amount Q in problem #2, its corresponding maximum profit is Blank 1 (round off to whole number).
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