Following are two weekly forecasts made by two different methods for the number of litres of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of litres: Week 1 Forecasts Method 1 Method 2 0.85 0.77 1.02 1.20 0.92 0.90 1.22 1.17 Actual Demand 0.72 1.00 2 3 0.96 1.04 4 What are the MAD and MSE for each method? The MAD for Method 1 = thousand litres (round your response to three decimal places). 2 The mean squared error (MSE) for Method 1 = thousand litres? (round your response to three decimal places). The MAD for Method 2= thousand litres (round your response to three decimal places). 2 The mean squared error (MSE) for Method 2 = thousand litres? (round your response to three decimal places)