TY  - JOUR
TI  - Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis
AU  - Michael Olusegun Akinwande
AU  - H. G. Dikko
AU  - Samson Agboola
PY  - 2015
JO  - Open Journal of Statistics
DO  - 10.4236/ojs.2015.57075
UR  - https://doi.org/10.4236/ojs.2015.57075
AB  - Suppression effect in multiple regression analysis may be more common in research than what is currently recognized. We have reviewed several literatures of interest which treats the concept and types of suppressor variables. Also, we have highlighted systematic ways to identify suppression effect in multiple regressions using statistics such as: R2, sum of squares, regression weight and comparing zero-order correlations with Variance Inflation Factor (VIF) respectively. We also establish that suppression effect is a function of multicollinearity; however, a suppressor variable should only be allowed in a regression analysis if its VIF is less than five (5).
ER  -