In logistic regression, the multiple R² pseudovariance explained values A) measure the proportion of variance explained in the dichotomous outcome variable. B) measure the effect size for the model. C) will increase as more variables are added to the model. D) are generally small for models with good fit.

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In logistic regression, the multiple R² pseudovariance explained values measure the effect size for the model, indicating how well the model explains the variability in the outcome.

In Logistic Regression, the Multiple R2 Pseudovariance Explained Values

In Logistic Regression, the Multiple R² Pseudovariance Explained Values