PLEASE ANSWER ALL QUESTIONS!! (Also if I do not end up liking something is wrong and I don't wanna use the dislike button)

(a) Construct a time series plot. The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. The data appear to follow a seasonal pattern. Develop the three-week moving average for this time series. 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.) (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 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 =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 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. 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 smaller MSE than the exponential smoothing using =0.2