What types of dependent variables are ok to use for linear regression?
A) interval/ratio variables
B) interval/ratio variables and dichotomies
C) interval/ratio variables, ordinal variables, and dichotomies
D) interval/ratio variables, ordinal variables, and nominal variables

Question

Quizplus · Accepted Answer

Linear regression is based on interval/ratio variables, which are numerically measurable with meaningful distances between values. Dichotomies (binary variables with only two possible values) can also be used in linear regression. However, ordinal variables (categorical variables with order, but no meaningful distances) and nominal variables (categorical variables with no order or meaningful distances) cannot be used in linear regression without converting them into numerical variables.

What Types of Dependent Variables Are Ok to Use for Linear