Binary logistic regression is appropriate when the dependent variable and the independent variables are nonmetric.

Question

Quizplus · Accepted Answer

This statement is true. Binary logistic regression is used when the dependent variable is binary (e.g. yes/no, true/false) and the independent variables can be either binary or continuous. Since the dependent variable is nonmetric and categorical, using binary logistic regression ensures appropriate statistical analysis.

Binary Logistic Regression Is Appropriate When the Dependent Variable and the Independent