How many dependent variables are used in multiple regression?

How many dependent variables are used in multiple regression? (a) One

(b) One or more

(c) Two or more

(d) Two

✅ Correct option: (a) One

Explanation:

Multiple regression is a statistical technique used to predict one dependent variable using two or more independent variables. The goal is to examine how several predictors jointly influence a single outcome variable. Despite the term “multiple,” it refers to multiple predictors, not multiple dependent variables. If more than one dependent variable is involved, techniques such as multivariate analysis are used instead. Therefore, the correct answer is one dependent variable.

10 Related PPSC Facts:

Multiple regression has one DV. Uses multiple independent variables. Predicts continuous outcomes. Regression analyzes relationships. Beta weights show predictor strength. R² shows explained variance. Used in social sciences. Assumes linear relationships. Multicollinearity affects results. Regression is inferential statistic.