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Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 15 21 13 19 21 16 (a) (b) Develop
Consider the following time series data:
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(b) | Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. | |||||||||||||||||
If required, round your answers to two decimal places. Do not round intermediate calculation. | ||||||||||||||||||
MSE: | ||||||||||||||||||
The forecast for month 8: | ||||||||||||||||||
(c) | Use = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. | |||||||||||||||||
If required, round your answers to two decimal places. Do not round intermediate calculation. | ||||||||||||||||||
MSE: | ||||||||||||||||||
The forecast for month 8: | ||||||||||||||||||
(d) | Compare the three-month 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-month 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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