Unlike multiple regression, logistic regression:
A)Does not have b weights.
B)Is not open to sources of bias.
C)Log-transforms the predictor variables.
D)Predicts a categorical outcome variable.

Question

Quizplus · Accepted Answer

Logistic regression is used for predicting a categorical outcome variable, whereas multiple regression is used for predicting a continuous outcome variable. Logistic regression models the relationship between a categorical outcome variable and one or more predictor variables, and estimates the likelihood of the outcome variable taking a particular value. It does not have b weights like multiple regression, and log-transforming predictor variables is not a necessary step for logistic regression. While sources of bias can still exist in logistic regression, it is not inherently open to bias.

Unlike Multiple Regression, Logistic Regression