ABSTRACT

Regression and correlation are closely related. Both techniques involve the relationship between two variables, and they both use the same set of paired scores taken from the same subjects. However, while correlation is concerned with the magnitude and direction of the relationship, regression focuses on applying the relationship for prediction. In terms of prediction, if two variables were correlated perfectly, then knowing the value of one score permits a perfect prediction of the score on the second variable. Generally, whenever two variables are significantly correlated, the researcher may use the score on one variable to predict the score on the second.