$5$

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

$\backslash$table$[[$FORECAST$,$ACTUAL$],[1,500,1,550],[1,400,1,500],[1,700,1,600],[1,750,1,650],[1,800,1,700]]$

Skipped

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" to $1$ decimal place, "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$],[1,1,500,1,550,$i$,,,,,],[2,1,400,1,500,,,,,,],[3,1,700,1,600,,,,,,],[4,1,750,1,650,,,,,,],[5,1,800,1,700,,,,,,]]$