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A restaurant has tracked the number of meals served at lunch over the last four weeks. The data shows little in terms of trends, but does display substantial variation by day of the week.   To forecast the demand for Sunday for Week 5, do you need to “deseasonalize” the demands for Weeks 1-4 and then “re-seasonalize” them. Why?

A restaurant has tracked the number of meals served at lunch over the last four weeks. The data shows little in terms of trends, but does display substantial variation by day of the week.   To forecast the demand for Sunday for Week 5, do you need to “deseasonalize” the demands for Weeks 1-4 and then “re-seasonalize” them. Why?

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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A restaurant has tracked the number of meals served at lunch over the last four weeks. The data shows little in terms of trends, but does display substantial variation by day of the week. 

  •  To forecast the demand for Sunday for Week 5, do you need to “deseasonalize” the demands for Weeks 1-4 and then “re-seasonalize” them. Why? 
A restaurant has tracked the number of meals served at lunch over the last four weeks. The data shows little in terms of trends, but does display substantial variation by day of the week. Use the following information to determine the seasonal (daily) index for this restaurant. Day Sunday Monday Tuesday Wednesday Thursday Friday Saturday LEHNTENE 1 40 54 61 72 89 91 80 Index 0.5627 0.7855 0.8963 1.0618 1.1800 1.3444 1.1692 Day Sunday Monday Tuesday Wednesday Thursday Friday Saturday (Time-series forecasting, moderate) Week 2 35 55 60 77 80 90 82 3 39 51 65 78 81 99 81 4 43 59 64 69 79 95 83
Transcribed Image Text:A restaurant has tracked the number of meals served at lunch over the last four weeks. The data shows little in terms of trends, but does display substantial variation by day of the week. Use the following information to determine the seasonal (daily) index for this restaurant. Day Sunday Monday Tuesday Wednesday Thursday Friday Saturday LEHNTENE 1 40 54 61 72 89 91 80 Index 0.5627 0.7855 0.8963 1.0618 1.1800 1.3444 1.1692 Day Sunday Monday Tuesday Wednesday Thursday Friday Saturday (Time-series forecasting, moderate) Week 2 35 55 60 77 80 90 82 3 39 51 65 78 81 99 81 4 43 59 64 69 79 95 83
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