Multicollinearity and misleading statistical results

Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression analyses. Diagnostic tools of multicollinearity include the variance inflation factor (VIF), condition index and condition n...

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Bibliographic Details
Main Author: Kim, Jong Hae
Format: Online Article Text
Language:English
Published: Korean Society of Anesthesiologists 2019
Subjects:
Statistical Round
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900425/
https://www.ncbi.nlm.nih.gov/pubmed/31304696
http://dx.doi.org/10.4097/kja.19087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900425/
https://www.ncbi.nlm.nih.gov/pubmed/31304696
http://dx.doi.org/10.4097/kja.19087

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