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: Week 1 3 4 Forecast Method 1 0.90 1.08 0.95 1.22 Actual Demand 0.68 1.05 1.00 1.00 Week 1 2 3 4 Forecast Method 2 0.82 1.20 0.90 1.11 Actual Demand 0.68 1.05 1.00 1.00 The MAD for Method 1 = thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 1 = thousand gallons (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 (round your response to three decimal places). The following are monthly actual and forecast demand levels for May through December for units of a product manufactured by the D. Bishop Company in Des Moines: For the given forecast, the tracking signal: Month May June July August Actual Demand Forecast Demand 108 80 112 115 105 100 100 101 98 108 September October November December MADS (round your response to two decimal places). 114 130 120 106 108 107