You want to derive an equation to predict first-year college grade point average from Scholastic Assessment Test scores, high school grade point average, and a measure of motivation to success in college. The most appropriate form of multiple regression analysis to use with your data would be
A) sequential.
B) statistical.
C) simultaneous.
D) synchronous.

Question

Quizplus · Accepted Answer

Simultaneous multiple regression is the most appropriate form of analysis for this scenario as all the predictor variables (SAT scores, high school GPA, and motivation to succeed) will be entered at the same time to predict the criterion variable (first-year college GPA). This allows for examination of the unique contribution of each predictor variable while controlling for the effects of the other variables. Sequential regression, on the other hand, involves entering predictor variables one at a time in a specific order, which may not be appropriate here. Statistical and synchronous regression are not commonly used terms in the context of regression analysis.

You Want to Derive an Equation to Predict First-Year College