Evaluate the forecasts that would have been made over the 13 weeks using the overall (at the end of the 13 weeks) mean absolute deviation, mean absolute percent error, and tracking signal as criteria.

Note: Negative values should be indicated by a minus sign. Round all answers to 2 decimal places. Enter "MAPE" answers as a percentage rounded to 2 decimal places.

Needed Information to Solve

\begin{tabular}{|c|c|c|c|c|c|c|c|} \hline & & Atlanta & Boston & Chicago & Dallas & Los Angeles & \begin{tabular}{c} Average of \\ DCs \end{tabular} \\ \hline \multirow[t]{3}{*}{ 3-week Moving Average } & MAD & 11.56 & & & & & \\ \hline & MAPE & & & & & & \\ \hline & TS & & & & & & \\ \hline \multirow[t]{3}{*}{ 5-week Moving Average } & MAD & & & & & & \\ \hline & MAPE & & & & & & \\ \hline & TS & & & & & & \\ \hline \end{tabular} 5-week Moving Average Management would like you to experiment with some torecasting models to determine what should be used in a new system to be implemented. The new system is programmed to use one of two forecasting models: simple moving average or exponential smoothing. a. Consider using a simple moving average model. Experiment with models using five weeks' and three weeks' past data. Note: Round your answers to 2 decimal places. 3-week Moving Average