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Consider the following time series data: Week 1 2 3 4 5 6 7 Value 23 15 20 12 18 22 15 (b) Develop a
Consider the following time series data:
Week | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Value | 23 | 15 | 20 | 12 | 18 | 22 | 15 |
(b) | Develop a three-week moving average for this time series. Compute MSE and a forecast for week 8. |
If required, round your answers to two decimal places. Do not round intermediate calculation. | |
MSE: | |
The forecast for week 8: | |
(c) | Use = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 8. |
If required, round your answers to two decimal places. Do not round intermediate calculation. | |
MSE: | |
The forecast for week 8: | |
(d) | Compare the three-week moving average forecast with the exponential smoothing forecast using = 0.2. Which appears to provide the better forecast based on MSE? |
- Select your answer -3-week moving averageexponential smoothingItem 7 | |
(e) | Use trial and error to find a value of the exponential smoothing coefficient that results in the smallest MSE. |
Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient. | |
= |
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