In this problem, you are to test the validity of your forecasting model. Here are the forecasts for a model you have been using and the actual demands that occurred:

$\backslash$table$[[$WEEK$,$FORECAST,ACTUAL$],[1,815,940],[2,875,1,015],[3,945,1,055],[4,955,915],[5,1,015,915],[6,1,000,1,015]]$

a$.$ Use the method stated in the text to compute the MAD and tracking signal for each week.

Note: Negative values should be indicated by a minus sign. Round your "Tracking Signal" to $2$ decimal place and all other answers to the nearest whole number.

$\backslash$table$[[$Week$,$Forecast,Actual,Deviation,RSFE,$\backslash$table$[[$Absolute$],[$Deviation$]],\backslash$table$[[$Sum of$],[$Absolute$],[$Deviation$]],$MAD,TS$],[1,815,940,,,,,,5],[2,875,1,015,,,,,,],[3,945,1,055,$i$,,,,,],[4,955,915,,,,,,],[5,1,015,915,,,,,,],[6,1,000,1,015,,,,,,]]$

b$.$ Decide whether the forecasting model you have been using is giving reasonable results.

The forecasting model is unacceptable.

The forecasting model is acceptable.