Consider the following time series data.

Week	1	2	3	4	5	6
Value	18	12	16	11	17	14

(c) Use =0.2 to compute the exponential smoothing forecasts for the time series. Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) The exponential smoothing using =0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. The exponential smoothing using =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. The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach. (e) Use a smoothing constant of =0.4 to compute the exponential smoothing forecasts. Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain. The exponential smoothing using =0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using =0.2. The exponential smoothing using =0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using =0.4. The exponential smoothing using =0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using =0.2. The exponential smoothing using =0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using =0.4