36 R (Coefficient of determination which measures the proportion of variability in a data set that is accounted for by a statistical model) R is 0.003 which means that 0,3% of the criterion variable are accounted for by the model used. Adjusted R square (the amount of shrinkage if this
is applied to another sample, in other words the amount of predictive loss) is -1.08, which means that the linkage between the two variables is negative and relatively strong. The adjusted R square is considered the most accurate among these three components.
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