Wager Mage
Photo: Kate Graur
Ideally, this value should be close to zero, which means that your predictor is close to the true value. The concept is similar to Mean Squared Error (MSE), which is a measure of the how well an estimator measures a parameter (or how close a regression line is to a set of points).
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