Cox & Snell R Square and Nagelkerke R Square are essentially estimates of R² indicating the proportion of variability in the DV that may be accounted for by all predictor variables included in the equation.

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Cox & Snell R Square and Nagelkerke R Square are both measures used in the context of logistic regression (and other models where traditional R² is not applicable) to indicate the proportion of variance in the dependent variable that is predictable from the independent variables. They provide a way to understand the goodness of fit of the model, similar to how R² functions in linear regression.

Cox & Snell R Square and Nagelkerke R Square Are