Correlation is closely related to the equation of the [b]Least Squares Regression Line (LSRL)[/b]. Why is it called the Least Squares Regression Line?[br][br]Drag the two "Drag Me!" points until the sum of the squares of the residuals is as small as possible. Once you are satisfied that you can not[br]make the sum of squares any smaller, click on the check boxes to see the true LSRL and the centroid of the points A, B, C, D, and E. [br][br]One property of the LSRL is that it passes through the centroid of the points, of the point of the mean coordinates.

Designed by Steve Phelps. Modified by Mike May.