Detecting Multicollinearity

Multicollinearity may have several adverse effects on estimated coefficients in a multiple regression analysis; consequently, it is important that researchers be trained in detecting its existence.An example is presented that illustrates the need of examining latent roots and latent vectors of the correlation matrix and the variance inflation factors (VIF's).