A logistic model can be estimated with the method of _____________________.
A) ordinary least squares
B) maximum likelihood estimation
C) ANOVA
D) nonparametric estimation

Question

Quizplus · Accepted Answer

The logistic model involves the probability of a binary outcome, and maximum likelihood estimation is the appropriate method for estimating the parameters of such a model. Ordinary least squares (A) is designed for continuous outcomes and assumes a normal distribution of errors, which is not appropriate for a logistic model. ANOVA (C) is a method for comparing means between groups and does not apply to the estimation of logistic models. Nonparametric estimation (D) is a more general approach that does not assume a specific distribution or functional form for the relationship between the predictors and outcome, but it may not be as efficient as the parametric approach of maximum likelihood.

A Logistic Model Can Be Estimated with the Method of _____________________