2. The absolute deviatin based on the forecast developed using Method 1 adds to ??? thousand gallons.

3.Mean squared error (MSE) is the average of (actual-Forecast). from the information given in method 1 , the value of n=4. the value E(autal-forecast) will be??? thousand gallons.

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 Week 1 Forecast Method 1 0.90 1.02 0.92 1.22 Actual Demand 0.72 1.00 1.07 1.04 Forecast Method 2 0.80 1.20 0.92 1 2 3 4 Actual Demand 0.72 1.00 1.07 1.04 2 3 4 1.15 The MAD for Method 1 = thousand gallons (round your response to three decimal places)