What is the major difference between logistic regression (LR) and discriminant analysis (DA)?
A) The number of independent variables is greater in DA.
B) The dependent variable has two levels in LR and multiple levels in DA.
C) LR can have multiple outcome levels, whereas DA is more limited.
D) LR is based on the PPM correlation, and DA is based on the canonical model.

Question

Quizplus · Accepted Answer

The major difference between logistic regression and discriminant analysis is that logistic regression is used when the dependent variable has only two levels (binary), whereas discriminant analysis is used when the dependent variable has multiple levels (categorical). Therefore, option B is the correct answer. Option A is incorrect as the number of independent variables can vary for both LR and DA. Option C is also incorrect as LR can only have one outcome variable, but it can have multiple levels. Option D is incorrect as LR is based on the logistic model and DA is based on the linear discriminant model, not the PPM correlation or canonical model.

What Is the Major Difference Between Logistic Regression (LR) and Discriminant