To predict a single dependent variable from more than one independent variable, which statistical technique should be used?
A) multiple regression
B) structural equation modeling
C) simple linear regression
D) correlation

Question

Quizplus · Accepted Answer

Multiple regression is the appropriate statistical technique to predict a single dependent variable from more than one independent variable. It involves analyzing the relationships between one dependent variable and two or more independent variables, controlling for other variables that may be influencing the outcome. Structural equation modeling is a more complex technique that can be used to examine complex relationships between multiple variables, while simple linear regression is used to predict a single dependent variable from a single independent variable. Correlation is used to assess the strength and direction of the relationship between two variables, but it does not allow for the prediction of a dependent variable based on independent variables.

To Predict a Single Dependent Variable from More Than One