(a) Construct a time series plot. What type of pattern exists in the data? The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. What is the forecast for week 7? Use =0.2 to compute the expon (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? Explain. 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 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 =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 =0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using =0.4. 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 =0.4 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 smaller MSE than the exponential smoothing using =0.4