The tracking signals computed using past demand history for three different products are as follows. Each product used the same forecasting technique.

$\backslash$table$[[,$TS $1,$TS $2,$TS $3],[1,-2\mathrm{.}70,1\mathrm{.}54,0\mathrm{.}10],[2,-2\mathrm{.}32,-0\mathrm{.}64,0\mathrm{.}43],[3,-1\mathrm{.}70,2\mathrm{.}05,1\mathrm{.}08],[4,-1\mathrm{.}10,2\mathrm{.}58,1\mathrm{.}74],[5,-0\mathrm{.}87,-0\mathrm{.}95,1\mathrm{.}94],[6,-0\mathrm{.}05,-1\mathrm{.}23,2\mathrm{.}24],[7,0\mathrm{.}10,0\mathrm{.}75,2\mathrm{.}96],[8,0\mathrm{.}40,-1\mathrm{.}59,3\mathrm{.}02],[9,1\mathrm{.}50,0\mathrm{.}47,3\mathrm{.}54],[10,2\mathrm{.}20,2\mathrm{.}74,3\mathrm{.}75],[,,,]]$

Plot the tracking signals for each forecast and evaluate the movement of the signal. Assume that the analyst would flag forecasts with signals that are greater than $3$ or less than $-3.$ Which product$($s$)$ should be reviewed immediately for potential forecasting issues? Discuss the tracking signals for each and what the implications are.