New Measure Reveals Hidden Relationships Between Variables - Unlocking Insights!
The linear correlation coefficient r measures how closely two variables are related in a straight line. It helps determine if there is a connection between them. By analyzing the slopes of linear regressions, we can test for correlation between variables. For multiple linear regression, the coefficient of determination R^2 replaces r^2 and can also be used to test for correlation.