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In logistic regression, what is the main reason for not being able to compare the variance with linear regression R2?
Why are extremes values easier to account for in logistic regression?
What is the main difference between R2 in linear regression and logistic regression?
What is the purpose of Nagelkerke's adjustment to the Cox and Snell R2?
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In logistic regression, what does it mean to correctly predict values?
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Why are means around 0.5 associated with high variance?
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What is the role of likelihood ratios in logistic regression?
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How are parameters estimated in logistic regression?
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What is the purpose of the Cox and Snell R2 in logistic regression?
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Why is it difficult to interpret the R2 value in logistic regression?
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