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(b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7 ? (c) Use =0.2 to compute the exponential smoothing values 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.) Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. (a) Construct a time series plot. O vveek What type of pattern exists in the data? The data appear to follow a horizontal pattern. The data appear to follow a trend pattern. The data appear to follow a cyclical pattern. The data appear to follow a seasonal pattern. (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) 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 larger MSE than the three-week moving average approach. The exponential smoothing using =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. The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach. (e) Use =0.4 to compute the exponential smoothing values for the time series. 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. Need Help