Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and forecast for week 7. Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. which appears to provide better forecast based on MSE? Explain. Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2.
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and forecast for week 7. Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. which appears to provide better forecast based on MSE? Explain. Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.EA: Extended Application Using Extrapolation To Predict Life Expectancy
Problem 2EA
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Question
- Consider the following time series data.
Week |
1 |
2 |
3 |
4 |
5 |
6 |
Value |
18 |
13 |
16 |
11 |
17 |
14 |
- Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and forecast for week 7.
- Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. which appears to provide better forecast based on MSE? Explain.
- Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.2.
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