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: Forecasts

Week Method 1 Method 2 Actual Demand

1 0.95 0.80 0.68

2 1.02 1.19 1.05

3 0.95 0.90 0.96

4 1.17 1.15 1.04

What are the MAD and MSE for each method? The MAD for Method 1 equals ___ thousand litres (round your response to three decimal places).

The mean squared error (MSE) for Method 1 equals ___ thousand litres squared (round your response to three decimal places).

The MAD for Method 2 equals ____ thousand litres (round your response to three decimal places).

The mean squared error (MSE) for Method 2 equals ____ thousand litres squared (round your response to three decimal places).