\begin{tabular}{c|c|} Week & Sales (\$/month) in thousands \\ \hline 1 & 24.00 \\ \hline 2 & 26.00 \\ \hline 3 & 24.50 \\ \hline 4 & 35.70 \\ \hline 5 & 22.75 \\ \hline 6 & 31.05 \\ \hline 7 & 26.87 \\ \hline 8 & 20.91 \\ \hline 9 & 22.00 \\ \hline 10 & 34.50 \\ \hline 11 & 15.00 \\ \hline 12 & 31.10 \\ \hline \end{tabular} Smoothing Forecasting Method for smoothing constant =0.25, including the calculation of the following forecasting accuracy measures: MFE, MAE, MSE and MAPE. d. ( 1.0 point) - Complete table A below with the values obtained for MFE, MAE, MSE and MAPE obtained for topics (a), (b) and (c) and complete the table B below with the accuracy forecasting ranking, where \#1 is the most accurate method, \#2 the second most accurate method and \#3 is the least accurate method based on each of the accuracy forecasting measures. Table A: Forccasting Methods MFE MLE MSE MAPE. Naive 3-month Moving Average Exponential Smoothing at a=0.25 Table B: Forecasting Methods Accuracy Ranking Forccasting Methods MFE MAE MSE. MLAPE. Naive 3-fronth Moving Average Exponential Smoothing at =0.25 \begin{tabular}{c|c|} Week & Sales (\$/month) in thousands \\ \hline 1 & 24.00 \\ \hline 2 & 26.00 \\ \hline 3 & 24.50 \\ \hline 4 & 35.70 \\ \hline 5 & 22.75 \\ \hline 6 & 31.05 \\ \hline 7 & 26.87 \\ \hline 8 & 20.91 \\ \hline 9 & 22.00 \\ \hline 10 & 34.50 \\ \hline 11 & 15.00 \\ \hline 12 & 31.10 \\ \hline \end{tabular} Smoothing Forecasting Method for smoothing constant =0.25, including the calculation of the following forecasting accuracy measures: MFE, MAE, MSE and MAPE. d. ( 1.0 point) - Complete table A below with the values obtained for MFE, MAE, MSE and MAPE obtained for topics (a), (b) and (c) and complete the table B below with the accuracy forecasting ranking, where \#1 is the most accurate method, \#2 the second most accurate method and \#3 is the least accurate method based on each of the accuracy forecasting measures. Table A: Forccasting Methods MFE MLE MSE MAPE. Naive 3-month Moving Average Exponential Smoothing at a=0.25 Table B: Forecasting Methods Accuracy Ranking Forccasting Methods MFE MAE MSE. MLAPE. Naive 3-fronth Moving Average Exponential Smoothing at =0.25