of gallons:

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $1]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}95,0\mathrm{.}68],[2,1\mathrm{.}08,1\mathrm{.}00],[3,0\mathrm{.}95,0\mathrm{.}96],[4,1\mathrm{.}20,0\mathrm{.}97]]$

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $2]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}82,0\mathrm{.}68],[2,1\mathrm{.}19,1\mathrm{.}00],[3,0\mathrm{.}88,0\mathrm{.}96],[4,1\mathrm{.}11,0\mathrm{.}97]]$

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$).$