- Consider The Following Time Series Data Week Value Ii Time Series Value 1 5 17 13 15 11 15 13 Time Series Value A C 1 (24 KiB) Viewed 11 times
- Consider The Following Time Series Data Week Value Ii Time Series Value 1 5 17 13 15 11 15 13 Time Series Value A C 2 (22.31 KiB) Viewed 11 times
- Consider The Following Time Series Data Week Value Ii Time Series Value 1 5 17 13 15 11 15 13 Time Series Value A C 3 (24.65 KiB) Viewed 11 times
- Consider The Following Time Series Data Week Value Ii Time Series Value 1 5 17 13 15 11 15 13 Time Series Value A C 4 (21.46 KiB) Viewed 11 times
€ (11) (iii) Time Series Value Time Series Value 6 2 0 4 2 0 1 2 3 3 4 Week (t) 4 Week (t) 5
(iv) 3 4 Time Series Value 5 Graph (ii) What type of pattern exists in the data? - Select your answer 6 17 13 20 18 16 15 11 2 (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. Week Value Forecast 1 2 15 13 0 2 Week (t) 5
4 5 6 MSE The forecast for week 7: 1 2 3 11 (c) Use a-0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Do not found intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 17 13 4 5 15 6 15 11 15 13 MSE The forecast for week 7. (d) Compare the three-week moving average forecast with the exponential smoothing forecast using a 02. Which appears to provide the better forecast based on MSE? - Select your answer - Explain. Using this approach results in a-Select your answer - MSE (e) Use trial and error to find a value of the exponential smoothing coefficient a that yields the minimum MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient. alpha