Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons:

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $1]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}90,0\mathrm{.}72],[2,1\mathrm{.}02,1\mathrm{.}00],[3,0\mathrm{.}97,1\mathrm{.}00],[4,1\mathrm{.}17,0\mathrm{.}97]]$

$\backslash$table$[[$Week$,\backslash$table$[[$Forecast$],[$Method $2]],\backslash$table$[[$Actual$],[$Demand$]]],[1,0\mathrm{.}77,0\mathrm{.}72],[2,1\mathrm{.}21,1\mathrm{.}00],[3,0\mathrm{.}92,1\mathrm{.}00],[4,1\mathrm{.}15,0\mathrm{.}97]]$

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

The mean squared error $($MSE$)$ for Method $1=0\mathrm{.}018$ thousand gallons ${?}^2($round your response to three decimal places$).$

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