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...
Main Author: | Yap, Sue Jinq |
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Format: | Thesis |
Language: | English English |
Published: |
2014
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/41239/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41239/2/FULLTEXT.pdf |
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