Podcast
Questions and Answers
In logistic regression, what is the main reason for not being able to compare the variance with linear regression R2?
In logistic regression, what is the main reason for not being able to compare the variance with linear regression R2?
- The dependent variable is binary, not continuous
- The proportion (mean) of the dependent variable affects the variance (correct)
- The model is non-linear, not linear
- The predictor variables are not correlated with the dependent variable
Why are extremes values easier to account for in logistic regression?
Why are extremes values easier to account for in logistic regression?
- There is less variability around the mean (correct)
- It is easier to model extreme probabilities
- There is more variability around the mean
- The model is more robust to outliers
What is the main difference between R2 in linear regression and logistic regression?
What is the main difference between R2 in linear regression and logistic regression?
- R2 is only calculated for linear regression, not logistic regression
- R2 is calculated based on correlation in linear regression, and likelihood ratios in logistic regression (correct)
- R2 is calculated based on correlation in logistic regression, and likelihood ratios in linear regression
- R2 is only calculated for logistic regression, not linear regression
What is the purpose of Nagelkerke's adjustment to the Cox and Snell R2?
What is the purpose of Nagelkerke's adjustment to the Cox and Snell R2?
In logistic regression, what does it mean to correctly predict values?
In logistic regression, what does it mean to correctly predict values?
Why are means around 0.5 associated with high variance?
Why are means around 0.5 associated with high variance?
What is the role of likelihood ratios in logistic regression?
What is the role of likelihood ratios in logistic regression?
How are parameters estimated in logistic regression?
How are parameters estimated in logistic regression?
What is the purpose of the Cox and Snell R2 in logistic regression?
What is the purpose of the Cox and Snell R2 in logistic regression?
Why is it difficult to interpret the R2 value in logistic regression?
Why is it difficult to interpret the R2 value in logistic regression?
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