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 : 1 - 2 - 3 - 4

Method 1: 0.90 - 1.02 - 0.97 - 1.17

Method 2: 0.80 - 1.19 - 0.88 - 1.15

Actual Demand: 0.68 - 1.05 -1.07 - 1.04

What are the MAD and MSE for each method?

The MAD for Method 1 = ___ thousand litres (round your response to three decimal places).

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

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

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