Problem $3-21($Algo$)$

The following table shows predicted product demand using your particular forecasting method along with the actual demand that occurred:

$\backslash$table$[[$FORECAST$,$ACTUAL$],[1,510,1,560],[1,410,1,500],[1,710,1,635],[1,760,1,685],[1,810,1,735]]$

Compute the tracking signal using the mean absolute deviation and running sum of forecast errors.

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

$\backslash$table$[[$Period$,$Forecast,Actual,Deviation,RSFE,$\backslash$table$[[$Absolute$],[$Deviation$]],\backslash$table$[[$Sum of$],[$Absolute$],[$Deviation$]],$MAD,TS$],[1,1,510,1,560,,,,,,],[2,1,410,1,500,,,,,,],[3,1,710,1,635,,,,,,],[4,1,760,1,685,,,,,,],[5,1,810,1,735,,,,,,]]$