What is the MOST important distinction between simple correlation and multiple correlation?
A) One uses r and the other uses R.
B) The size of the SEE (it is larger with multiple correlation)
C) The amount of variance in Y
D) The number of predictors used for the correlation
E) The number of people used for the correlation

Question

Quizplus · Accepted Answer

The most important distinction between simple correlation and multiple correlation is the number of predictors used for the correlation. Simple correlation involves only two variables (one predictor and one outcome variable), while multiple correlation involves more than two variables (two or more predictors and one outcome variable). Therefore, the correct answer is D.

What Is the MOST Important Distinction Between Simple Correlation and Multiple