When the dependent variable is binary (0 or 1), we need:
A)stepwise regression.
B)data transformation to improve conditioning.
C)logistic regression.
D)best subsets regression.

Question

Quizplus · Accepted Answer

Logistic regression is the appropriate choice when the dependent variable is binary in nature. It estimates the probability of occurrence of the event of interest and models the relationship between the independent variables and the probability of occurrence of the event. Stepwise regression and best subsets regression are techniques used for continuous dependent variables. Data transformation may improve conditioning but is not specifically related to binary dependent variables.

When the Dependent Variable Is Binary (0 or 1), We