Multiple Regression Analysis, Explained Simply

The phenomena we observe and wish to study in order to deepen our understanding rarely present themselves so simply as to be defined by only two variables: one predictive (independent) and one response (dependent).

Therefore, while simple linear regression analysis holds fundamental theoretical importance, in practice it provides little more information than simply studying the correlation coefficient.

Continue reading “Multiple Regression Analysis, Explained Simply”