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F Maureen Bly is the new manager of the materials storeroom for Parr Manufacturing. Maureen has been ask Maureen has purchase cost and quantity data for the past 9 months as follows: (Click the icon to view the data for the past 9 months.) Estimated monthly purchases for this part based on expected demand of the two products for the rest of the (Click the icon to view the expected demand for the rest of the year.) urchase Quantity Expected 3,380 parts 3,780 3,070 Done - X R Square er in Maureen's office is down, and Maureen has been asked to immediately pr ow method to estimate a cost equation. What equation does she get? = $ 1,067 +($ 4 Quantity purchased Regression Statistics X Variable 1 uation from requirement 1, calculate the future expected purchase costs for ea High-Low Method Expected Cost se Quantity Expected 3,380 parts 3,780 parts 3,070 parts CE $ $ $ 14,587 16,187 13,347 t Stat Data table Month January February March April May June July August September Cost of Purchase Quantity Purchased $ 2,680 parts 2,820 4,148 3,712 2,989 3,321 3,688 2.262 3,532 Print Requirement 3. After a few hours Maureen's computer is fixed. Maureen uses the first 9 months of data and regression analysis to estimate the relationship between the quantity purchased and purchase costs of part # 696. The regression line Maureen obtains is as follows: y = $1,629.4 +3.8X 12,408 12,110 17,659 16.011 13.125 13,800 15,316 Run a regression on the 9 months of data using Microsoft Excel to determine the R Square and t Stat for the X Variable 1 statistics. (Enter the R Square and t Stat amounts to six decimal places, 0.XXXXXX.) 10,115 14,980 Done

F Maureen Bly is the new manager of the materials storeroom for Parr Manufacturing. Maureen has been ask Maureen has purchase cost and quantity data for the past 9 months as follows: (Click the icon to view the data for the past 9 months.) Estimated monthly purchases for this part based on expected demand of the two products for the rest of the (Click the icon to view the expected demand for the rest of the year.) urchase Quantity Expected 3,380 parts 3,780 3,070 Done - X R Square er in Maureen's office is down, and Maureen has been asked to immediately pr ow method to estimate a cost equation. What equation does she get? = $ 1,067 +($ 4 Quantity purchased Regression Statistics X Variable 1 uation from requirement 1, calculate the future expected purchase costs for ea High-Low Method Expected Cost se Quantity Expected 3,380 parts 3,780 parts 3,070 parts CE $ $ $ 14,587 16,187 13,347 t Stat Data table Month January February March April May June July August September Cost of Purchase Quantity Purchased $ 2,680 parts 2,820 4,148 3,712 2,989 3,321 3,688 2.262 3,532 Print Requirement 3. After a few hours Maureen's computer is fixed. Maureen uses the first 9 months of data and regression analysis to estimate the relationship between the quantity purchased and purchase costs of part # 696. The regression line Maureen obtains is as follows: y = $1,629.4 +3.8X 12,408 12,110 17,659 16.011 13.125 13,800 15,316 Run a regression on the 9 months of data using Microsoft Excel to determine the R Square and t Stat for the X Variable 1 statistics. (Enter the R Square and t Stat amounts to six decimal places, 0.XXXXXX.) 10,115 14,980 Done

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Data table Month October November December Print ← Maureen Bly is the new manager of the materials storeroom for Parr Manufacturing. Maureen has been ask Maureen has purchase cost and quantity data for the past 9 months as follows: (Click the icon to view the data for the past 9 months.) Estimated monthly purchases for this part based on expected demand of the two products for the rest of the (Click the icon to view the expected demand for the rest of the year.) Purchase Quantity Expected 3,380 parts 3,780 3,070 Done Celeulator - X R Square er in Maureen's office is down, and Maureen has been asked to immediately pr ow method to estimate a cost equation. What equation does she get? $ 1,067 +($ 4 Quantity purchased X Variable 1 Regression Statistics uation from requirement 1, calculate the future expected purchase costs for ea High-Low Method Expected Cost 14,587 16,187 13,347 se Quantity Expected 3,380 parts 3,780 parts 3,070 parts X $ $ t Stat Data table Month January February March April May June July August September Requirement 3. After a few hours Maureen's computer is fixed. Maureen uses the first 9 months of data and regression analysis to estimate the relationship between the quantity purchased and purchase costs of part # 696. The regression line Maureen obtains is as follows: y = $1,629.4 + 3.8X Cost of Purchase Quantity Purchased $ 2,680 parts 2,820 4,148 3,712 2,989 3,321 3,688 2,262 3,532 Run a regression on the 9 months of data using Microsoft Excel to determine the R Square and t Stat for the X Variable 1 statistics. (Enter the R Square and t Stat amounts to six decimal places, 0.XXXXXX.) Print 12,408 12,110 17,659 16,011 13,125 13,800 15,316 10,115 14,980 Done - X
Transcribed Image Text:Data table Month October November December Print ← Maureen Bly is the new manager of the materials storeroom for Parr Manufacturing. Maureen has been ask Maureen has purchase cost and quantity data for the past 9 months as follows: (Click the icon to view the data for the past 9 months.) Estimated monthly purchases for this part based on expected demand of the two products for the rest of the (Click the icon to view the expected demand for the rest of the year.) Purchase Quantity Expected 3,380 parts 3,780 3,070 Done Celeulator - X R Square er in Maureen's office is down, and Maureen has been asked to immediately pr ow method to estimate a cost equation. What equation does she get? $ 1,067 +($ 4 Quantity purchased X Variable 1 Regression Statistics uation from requirement 1, calculate the future expected purchase costs for ea High-Low Method Expected Cost 14,587 16,187 13,347 se Quantity Expected 3,380 parts 3,780 parts 3,070 parts X $ $ t Stat Data table Month January February March April May June July August September Requirement 3. After a few hours Maureen's computer is fixed. Maureen uses the first 9 months of data and regression analysis to estimate the relationship between the quantity purchased and purchase costs of part # 696. The regression line Maureen obtains is as follows: y = $1,629.4 + 3.8X Cost of Purchase Quantity Purchased $ 2,680 parts 2,820 4,148 3,712 2,989 3,321 3,688 2,262 3,532 Run a regression on the 9 months of data using Microsoft Excel to determine the R Square and t Stat for the X Variable 1 statistics. (Enter the R Square and t Stat amounts to six decimal places, 0.XXXXXX.) Print 12,408 12,110 17,659 16,011 13,125 13,800 15,316 10,115 14,980 Done - X
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