Question: Consider the following time series data. Week 1 2 3 4 5 6 Value 18 15 15 13 17 14 (a) Choose the correct time
| Consider the following time series data.
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| What type of pattern exists in the data? | |||||||||||||||||||||||||
| a. Horizontal Pattern b. Trend Pattern | |||||||||||||||||||||||||
| (b) | Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. | ||||||||||||||||||||||||
| Do not round intermediate calculations. If required, round your answers to two decimal places. | |||||||||||||||||||||||||
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| MSE: | |||||||||||||||||||||||||
| The forecast for week 7: | |||||||||||||||||||||||||
| (c) | Use = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. | ||||||||||||||||||||||||
| Do not round intermediate calculations. If required, round your answers to two decimal places. | |||||||||||||||||||||||||
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| MSE: | |||||||||||||||||||||||||
| The forecast for week 7: | |||||||||||||||||||||||||
| (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? | ||||||||||||||||||||||||
| a. Three-week moving average b. Exponential Smoothing | |||||||||||||||||||||||||
| Explain. | |||||||||||||||||||||||||
| Using this approach results in a ____ MSE. a. larger b. smaller | |||||||||||||||||||||||||
| (e) | Use trial and error to find a value of the exponential smoothing coefficient that yields the minimum MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient. | ||||||||||||||||||||||||
| alpha: | |||||||||||||||||||||||||
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