Given the quarterly sales data for a particular brand of sports shoes at a sporting goods store shown below: (a) (b) (c) Year 1 2 3 4 5 1 4 6 10 12 18 2 2 4 3 9 10 Quarter 3 1 4 5 7 13 4 5 14 16 22 35 Total Sales 12 28 34 50 76 Develop a four-period moving average model and compute MSE for your forecasts. Provide the relevant screenshots of the Excel spreadsheet. Find a good value of a for a single exponential smoothing model and compare your results to part (a). The store manager asks you whether to use time-series or regression-based forecasting models. Illustrate the key similarities and differences between these two methods.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.6: Moving Averages Models
Problem 19P: The file P13_19.xlsx contains the weekly sales of a particular brand of paper towels at a...
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Given the quarterly sales data for a particular brand of sports shoes at a sporting goods store
shown below:
(a)
(b)
(c)
Year
1
2
3
4
5
1
4
6
10
12
18
2
2
4
3
9
10
Quarter
3
1
4
5
7
13
4
5
14
16
22
35
Total
Sales
12
28
34
50
76
Develop a four-period moving average model and compute MSE for your forecasts.
Provide the relevant screenshots of the Excel spreadsheet.
Find a good value of a for a single exponential smoothing model and compare your
results to part (a).
The store manager asks you whether to use time-series or regression-based forecasting
models. Illustrate the key similarities and differences between these two methods.
[Note: Your write up for Q1, excluding figures/tables/calculations, should not exceed 300
words.]
Transcribed Image Text:Given the quarterly sales data for a particular brand of sports shoes at a sporting goods store shown below: (a) (b) (c) Year 1 2 3 4 5 1 4 6 10 12 18 2 2 4 3 9 10 Quarter 3 1 4 5 7 13 4 5 14 16 22 35 Total Sales 12 28 34 50 76 Develop a four-period moving average model and compute MSE for your forecasts. Provide the relevant screenshots of the Excel spreadsheet. Find a good value of a for a single exponential smoothing model and compare your results to part (a). The store manager asks you whether to use time-series or regression-based forecasting models. Illustrate the key similarities and differences between these two methods. [Note: Your write up for Q1, excluding figures/tables/calculations, should not exceed 300 words.]
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