Regression And Correlation Methods
Regression and correlation techniques quantify the statistical association between two or more variables.
(a) Simple regression expresses the relationship between a dependent variable Y and a independent variable X in terms of the slope and intercept of the line of best fit relating the two variables.
(b) Simple correlation expresses the degree or closeness of the relationship between two variables in terms of a correlation coefficient that provides an indirect measure of the variability of points from the line of best fit. Neither regression nor correlation gives proof of a cause-effect relationship.