For a logistic regression model, if −2LL = 0, it indicates that
A) the model has perfect fit but the model cannot be estimated.
B) the model is a poor fit to the data.
C) the value of the log likelihood function is 0.
D) a computational error has been made.

Question

Quizplus · Accepted Answer

When −2LL (negative two times the log likelihood) equals 0, it indicates that the model has a perfect fit to the data. This is because the log likelihood reaches its maximum value (which is 0 in the ideal case for −2LL) when the model predictions perfectly match the observed data. However, achieving a perfect fit is extremely rare in practice and might indicate overfitting or an error in model specification.

For a Logistic Regression Model, If −2LL = 0, It