Modified method for removing multicollinearity problem in multiple regression model

Multicollinearity happens when two or more independent variables in a multiple regression model are highly correlated. This increases the standard errors as the coefficients cannot be estimated accurately. Insignificant variable which does not contribute to a model may also affect the interpretation...

Description complète

Détails bibliographiques
Auteur principal: Yap, Sue Jinq
Format: Thèse
Langue:anglais
anglais
Publié: 2014
Sujets:
Accès en ligne:https://eprints.ums.edu.my/id/eprint/41239/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/41239/2/FULLTEXT.pdf