A bivariate regression analysis is different from a bivariate correlation analysis  

1.In a bivariate regression analysis, one variable is designated as the predictor while the other is designated as the outcome. A bivariate correlation is bi-directional, on the other hand.

2.The goal of a bivariate correlation is to to use one variable to predict the other through the correlation coefficient, r.

3.The proportion of variance in one variable accounted for by the variance in the other variable can be calculated through a regression but not a correlation.

4.A causal relationship between two variables can only be revealed through a regression analysis but not a correlation analysis.