$\backslash$table$[[$Period$,$Demand,Forecast,Error$],[$January$,130,110,],[$February$,110,115,],[$March$,115,120,],[$April$,125,115,],[$May$,130,125,]]$

A forecasting model has produced the forecasts as shown: The mean absolute deviation $($MAD$)$ for the end of May is

$5\mathrm{.}0$

$7\mathrm{.}0$

$9\mathrm{.}0$

$25\mathrm{.}0$

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