Chapter 10 Problems - clean version

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University of Waterloo *

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382

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Statistics

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Feb 20, 2024

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xlsx

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16

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Month Cost of Purchase January 12,675 February 13,000 March 17,653 April 15,825 May 13,125 June 13,814 July 15,300 August 10,233 September 14,950 Month Purchase Quantity Expecte October 3,340 November 3,710 December 3,040 Required 10-26 High-Low, Regression. May Bla Manufacturing. May has been asked to e products. May has purchase cost and qua as follows: 1. The computer in May's office is down, future purchase cost for part #696. May equation. What equation does she get? 2. Using the equation from requirement 1 of the year 3. After a few hours May's computer is fix the relationship between the quantity pu as follows:
Evaluate the regression line using the cri independent variable . Compare the re better fit ? Why? 4. Use the regression results to calculate Compare the expected purchase cos requirement 2. Comment on your results
Quantity Purchased 2,710 2,810 4,153 3,756 2,912 3,387 3,622 2,298 3,562 ed parts y = $2,582.6 + ackwell is the new man estimate future monthly antity data for the past and May has been ask grabs a calculator and 1, calculate the future xed. May uses the first urchased and purchase
iteria of economic pla egression equation to t e the expected purchas sts to the expected pur s.
parts + 3.54X nager of the materials storeroom for Clayton y purchase costs for part #696, used in two of Clayton's t 9 months as follows: ked to immediately provide an equation to estimate the d uses the high-low method to estimate a cost expected purchase costs for each of the last 3 months t 9 months of data and regression analysis to estimate e costs of part #696. The regression line May obtains is
ausibility , goodness of fit , and significance of the the equation based on the high-low method. Which is a se costs for October, November, and December. rchase costs calculated using the high-low method in
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