Time Series and Forecasting $(20$ points$)$

Consider the following partially filled forecast table made by a consumer electronics retailer about the average number of employees in outlets. The forecast was made by utilizing single exponential smoothing method with an alpha $()=0\mathrm{.}1.$ Answer the following question based on the time series plot and partially completed table.

$\backslash$table$[[$completed table.,Avg. no$.$ of$],[$Year$,\backslash$table$[[$Absolute$],[$employees$]],\backslash$table$[[$Forecast$],[$Forecast$],[$Error$]],],[1,20\mathrm{.}50,20\mathrm{.}50,],[2,17\mathrm{.}60,20\mathrm{.}50,2\mathrm{.}90],[3,18\mathrm{.}70,20\mathrm{.}21,1\mathrm{.}51],[4,21\mathrm{.}40,20\mathrm{.}06,1\mathrm{.}34],[5,23\mathrm{.}10,20\mathrm{.}19,2\mathrm{.}91],[6,19\mathrm{.}70,20\mathrm{.}48,0\mathrm{.}78],[7,18\mathrm{.}60,20\mathrm{.}41,1\mathrm{.}81],[8,16\mathrm{.}50,20\mathrm{.}22,3\mathrm{.}72],[9,19\mathrm{.}20,19\mathrm{.}85,0\mathrm{.}65],[10,20\mathrm{.}10,19\mathrm{.}79,0\mathrm{.}31],[11,,?,],[$alpha $=,0\mathrm{.}1,$SUM $=,15\mathrm{.}94],[,,$MAD $=,?$