10 Questions
In logistic regression, what is the main reason for not being able to compare the variance with linear regression R2?
The proportion (mean) of the dependent variable affects the variance
Why are extremes values easier to account for in logistic regression?
There is less variability around the mean
What is the main difference between R2 in linear regression and logistic regression?
R2 is calculated based on correlation in linear regression, and likelihood ratios in logistic regression
What is the purpose of Nagelkerke's adjustment to the Cox and Snell R2?
To scale the R2 value to a maximum possible value
In logistic regression, what does it mean to correctly predict values?
To accurately forecast the probability of the dependent variable
Why are means around 0.5 associated with high variance?
Because the probability is near the midpoint
What is the role of likelihood ratios in logistic regression?
To calculate the R2 value
How are parameters estimated in logistic regression?
Using numerical methods
What is the purpose of the Cox and Snell R2 in logistic regression?
To compare the model with the null model
Why is it difficult to interpret the R2 value in logistic regression?
Because it does not have a maximum value of 1.0
This quiz covers Lecture 7 of PSYC40005, focusing on logistic regression and loglinear models in statistical analysis. It includes topics such as linear models and predicting weight from height.
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