Can I please get help on solving this question all the way on the parts where it was counted as wrong?

Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks folliows. \begin{tabular}{|c|c|c|c|c|c|c|} \hline Week & 1 & 2 & 3 & 4 & 5 & 6 \\ \hline Value & 19 & 11 & 14 & 10 & 17 & 12 \\ \hline \end{tabular} (c) Use a=0.2 to compute the exponential smocthing 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.) See the rounding prompt for how many decimal places are needed. (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 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. The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach. The exponential smoothing using a=0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach. What is the forecast for week 7 ? Use =0.2 to compute the exponential smoothing values for the time series. (e) Use =0.4 to compute the exponential smoothing values for the time series. \begin{tabular}{|c|c|c|} \hline Week & \begin{tabular}{c} Time Series \\ Value \end{tabular} & Forecast \\ \hline 1 & 19 & \\ \hline 2 & 11 & 19 \\ \hline 3 & 14 & 15.8 \\ \hline 4 & 10 & 15.08 \\ \hline 5 & 17 & 13.048 \\ \hline 6 & 12 & 13.67 \\ \hline \end{tabular} Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain, The exponential smoothing using a=0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a=0.2. The exponential smoothing using a=0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using a=0.4. The exponential smoothing using a=0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a=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