A statistical estimate of the amount, and hence the importance, of the errors or residuals for all the predicted and actual values of a variable. In regression analysis, for example, goodness of fit indicates how much of the variation between independent variables (property characteristics) and the dependent variable (sales prices) is explained by the independent variables chosen for the AVM.
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