Demand for portable music players for joggers has caused Nancy Industries (Nancy) to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nancy expects demand for music player to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demands for the players for last year was as follows : Month Demand (units) Jan 4200 Feb 4300 Mar 4000 Apr 4400 May 5000 Jun 4700 Jul 5300 Aug 4900 Sep 5400 Oct 5700 Nov 6300 Dec 6000 Question : From the choice of simple moving average, weighted moving average, exponential smoothing, and linear regression analysis, which forecasting technique would you consider the most accurate to Nancy Industries? Why?
Demand for portable music players for joggers has caused Nancy Industries (Nancy) to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nancy expects demand for music player to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demands for the players for last year was as follows : Month Demand (units) Jan 4200 Feb 4300 Mar 4000 Apr 4400 May 5000 Jun 4700 Jul 5300 Aug 4900 Sep 5400 Oct 5700 Nov 6300 Dec 6000 Question : From the choice of simple moving average, weighted moving average, exponential smoothing, and linear regression analysis, which forecasting technique would you consider the most accurate to Nancy Industries? Why?
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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Demand for portable music players for joggers has caused Nancy Industries (Nancy) to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nancy expects demand for music player to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demands for the players for last year was as follows :
Month | Demand (units) |
Jan | 4200 |
Feb | 4300 |
Mar | 4000 |
Apr | 4400 |
May | 5000 |
Jun | 4700 |
Jul | 5300 |
Aug | 4900 |
Sep | 5400 |
Oct | 5700 |
Nov | 6300 |
Dec | 6000 |
Question :
From the choice of simple moving average, weighted moving average, exponential smoothing, and linear regression analysis, which
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