A researcher wants to be able to predict first-semester grade point average with as much accuracy as possible, so she would like to use both high school grade point average and SAT score as predictor variables.Which technique would be most appropriate to make this prediction?
A) simple linear regression
B) proportionate reduction in error
C) multiple regression
D) standardized regression coefficient

Question

Quizplus · Accepted Answer

Multiple regression would be the most appropriate technique to make this prediction as it allows for the analysis of the relationship between two or more independent variables and a dependent variable, in this case, high school GPA and SAT score as predictors of first-semester GPA. Simple linear regression only allows for the analysis of the relationship between one independent variable and a dependent variable. Proportionate reduction in error and standardized regression coefficient are not techniques, but rather concepts that are used in the interpretation of regression models.

A Researcher Wants to Be Able to Predict First-Semester Grade