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 2 3 4 Forecast Method 1 The MAD for Method 1 = 0.90 1.05 0.95 1.20 Actual Demand 0.70 1.00 1.00 1.00 Week 1 2 3 4 The mean squared error (MSE) for Method 1 = The MAD for Method 2 = thousand gallons The mean squared error (MSE) for Method 2 = Forecast Method 2 0.80 1.20 0.90 1.11 thousand gallons (round your response to three decimal places). Actual Demand 0.70 1.00 1.00 1.00 thousand gallons (round your response to three decimal places) (round your response to three decimal places). thousand gallons2 (round your response to three decimal places). ConvertFile

The MAD for Method 1 = thousand galions (round your response to three decimal places). The mean squared error (MSE) for Method 1 = thousand gallans 2 (round your respanse to three decimal places) The MAD for Method 2 a thousand gallons (round your response to three decimai places). The mean squared enor (MSE) for Method 2 = thousand gallons 2 (round your rospense to firee decimai places)