This document discusses correlation and regression analysis. It defines correlation as a statistical technique used to measure the relationship between two variables. Regression analysis develops an equation to express this relationship and can be used to predict the value of one variable based on the other. The key outputs of regression analysis are the regression line equation, the coefficient of determination (R2), and the correlation coefficient (r). R2 indicates what proportion of the variation in the dependent variable is explained by the independent variable.