A popular brand of tennis shoe has had the following demand history by quarters over a three-year period. Determine the seasonal factors for each quarter using the first two years’ data. Based on the result of part (a), determine the deseasonalized demand series for the first two years’ data. Predict the demand for each quarter of Year 3 for the desea
A popular brand of tennis shoe has had the following demand history by quarters over a three-year period. Determine the seasonal factors for each quarter using the first two years’ data. Based on the result of part (a), determine the deseasonalized demand series for the first two years’ data. Predict the demand for each quarter of Year 3 for the desea
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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Question
A popular brand of tennis shoe has had the following demand history by quarters over a three-year period.
- Determine the seasonal factors for each quarter using the first two years’ data.
- Based on the result of part (a), determine the deseasonalized demand series for the first two years’ data.
- Predict the demand for each quarter of Year 3 for the deseasonalized series using TWO of your chosen methods among i) moving average, ii) exponential smoothing, and iii) regression.
- Using the results from parts (a) and (c), predict the demand for the shoes for each quarter of Year 3. Among two of your chosen methods, which method is more accurate and why?
![Year 1
Demand
Year 2
Demand
Year 3
Demand
1
12
1
16
1
14
25
32
45
76
3
71
3
4
84
4
52
4
62
47](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F59be7e2d-536c-4b64-b9db-d821cd76fec5%2F87635c6f-b75e-40a4-8219-29bfe8445054%2Fqs7gnjc_processed.png&w=3840&q=75)
Transcribed Image Text:Year 1
Demand
Year 2
Demand
Year 3
Demand
1
12
1
16
1
14
25
32
45
76
3
71
3
4
84
4
52
4
62
47
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