Question: Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Develop a three-week moving average
Consider the following time series data.
| Week | 1 | 2 | 3 | 4 | 5 | 6 |
| Value | 18 | 13 | 16 | 11 | 17 | 14 |
Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places.
| Week | Time Series Value | Forecast |
|---|---|---|
| 1 | 18 | |
| 2 | 13 | |
| 3 | 16 | |
| 4 | 11 | ?? |
| 5 | 17 | ?? |
| 6 | 14 | ?? |
MSE: ?? The forecast for week 7: ?? Use = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places.
| Week | Time Series Value | Forecast |
|---|---|---|
| 1 | 18 | |
| 2 | 13 | ?? |
| 3 | 16 | ?? |
| 4 | 11 | ?? |
| 5 | 17 | ?? |
| 6 | 14 | ?? |
MSE: ?? The forecast for week 7: ??
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?
Use trial and error to find a value of the exponential smoothing coefficient that results in a smaller MSE than what you calculated for = 0.2. Find a value of for the smallest MSE. Round your answer to three decimal places. = ???
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