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, thousands of gallons: Week 1 2 3 4 Forecast Method 1 0.95 1.05 0.97 1.17 Actual Demand 0.68 1.05 0.96 0.97 Week 1 2 3 4 Forecast Method 2 0.82 1.20 0.90 1.15 Actual Demand 0.68 1.05 0.96 0.97 The MAD for Method 1 = 0.120 thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 1 = 0.028 thousand gallons2 (round your response to three decimal places). The MAD for Method 2 = 0.133 thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 2 = 0.020 thousand gallons (round your response to three decimal places).

The MAD for Method 1 = 0.120 thousand gatons (round your response to trvee decimal places) The MAD for Method 2=0.133 theusand galions (round your response to three decimal places) The mean squaced error (MSE) for Method 2 a 0.0202 thousand gallons 2 (round your response to three decimal places)