thousands of gallons:

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $1]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}95,0\mathrm{.}72],[2,1\mathrm{.}02,0\mathrm{.}98],[3,0\mathrm{.}95,1\mathrm{.}00],[4,1\mathrm{.}20,1\mathrm{.}04]]$

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $2]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}80,0\mathrm{.}72],[2,1\mathrm{.}19,0\mathrm{.}98],[3,0\mathrm{.}90,1\mathrm{.}00],[4,1\mathrm{.}17,1\mathrm{.}04]]$

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$).$