of gallons:

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $1]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}85,0\mathrm{.}72],[2,1\mathrm{.}02,1\mathrm{.}00],[3,0\mathrm{.}97,1\mathrm{.}07],[4,1\mathrm{.}20,1\mathrm{.}00]]$

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $2]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}82,0\mathrm{.}72],[2,1\mathrm{.}21,0\mathrm{.}90],[3,0\mathrm{.}90,1\mathrm{.}07],[4,1\mathrm{.}17,1\mathrm{.}00]]$

The MAD for Method $1=$thousand gallons $($round your response to three decimal places$).$

The mean squared error $($MSE$)$ for Method $1=,$ thousand gallons ${?}^2($round your response to three decimal places$).$

The MAD for Method $2=$ thousand gallons $($round your response to three decimal places$).$

The mean squared error $($MSE$)$ for Method $2=$thousand gallons ${?}^2($round your response to three decimal places$).$