In multiple regression analysis, how many dependent variables are there?

In multiple regression analysis, the focus is on understanding the relationship between one dependent variable and multiple independent variables. By definition, the dependent variable is the outcome or the variable that you are trying to predict or explain. In a typical multiple regression setup, you have a single dependent variable that you analyze in relation to two or more independent variables.

This single dependent variable allows researchers to determine how changes in the independent variables influence the dependent variable. The aim is to develop a predictive model that captures the effect of the independent variables while controlling for other factors. Hence, in a standard multiple regression analysis, there is only one dependent variable, making option B the correct answer.