(b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 19 12 N 3 15 4 10 5 18 6 14 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Week Time Series Value Forecast 1 19 2 12 3 3 15 4 4 10 in 5 18 6 14 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) (d) Compare the three-week moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? Explain. The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach using a = 0.2. The exponential smoothing using a = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach. The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach using a = 0.2. (e) 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. a =