simply states that when the predictor, or independent variables are extremely highlight interrelated, it will be difficult to therefore separate out any effects which have some impact on them.

MULTICOLLINEARITY: "The multicollineartity principle, argues that when variables become highly interrelated, it will therefore become difficult to separate the varying effects they have."
Cite this page: N., Pam M.S., "MULTICOLLINEARITY," in, April 7, 2013, (accessed May 9, 2020).