Diagnosing Multicollinearity of Logistic Regression Model
N. A. M. R. Senaviratna, T. M. J. A. Cooray
Asian Journal of Probability and Statistics · pp. 1–9 · Published 1 Oct 2019
10.9734/ajpas/2019/v5i230132Abstract
One of the key problems arises in binary logistic regression model is that explanatory variables being considered for the logistic regression model are highly correlated among themselves. Multicollinearity will cause unstable estimates and inaccurate variances that affects confidence intervals and hypothesis tests. Aim of this was to discuss some diagnostic measurements to detect multicollinearity namely tolerance, Variance Inflation Factor (VIF), condition index and variance proportions. The adapted diagnostics are illustrated with data based on a study of road accidents. Secondary data used from 2014 to 2016 in this study were acquired from the Traffic Police headquarters, Colombo in Sri Lanka. The response variable is accident severity that consists of two levels particularly grievous and non-grievous. Multicolinearity is identified by correlation matrix, tolerance and VIF values and confirmed by condition index and variance proportions. The range of solutions available for logistic regression such as increasing sample size, dropping one of the correlated variables and combining variables into an index. It is safely concluded that without increasing sample size, to omit one of the correlated variables can reduce multicollinearity considerably.
Cited by 441
Yan Zhang, Jie-Wei Liu, Yihao Lin · Sexual Health · 2026
Most. Sabiha Sultana, Tasrun Jahan · Journal of social sciences and humanities · 2026
Subrata Maity, Satiprasad Sahoo, Somnath Saha · Journal of Water and Climate Change · 2026
Longxue Hu, Enguo Cao, Wei-Feng Hu · Interactive Learning Environments · 2026
Ratchaphon Samphutthanont, W. Suppawimut · Geographies · 2026
Susana Ríos-Echavarría, Gilma Hernández Herrera, H. I. García García · PLoS Neglected Tropical Diseases · 2026
Chongyang Dong, Yu Wang, Yongshuai She · Journal of Environmental Management · 2026
Ekta Srivastava, Sanatan Nayak · Discover Cities · 2026
Zehra Su Topbaş, Vesile Adıgüzel · Violence against Women · 2026
Erik Šoltés, M. Pietrzak, Lívia Krajčíková · Empirica · 2026
Showing 119 of 441 known citations — external sources report more than can currently be individually listed.
Related research
- Tolerance to Heavy Metals by Some Fungal Isolates from Petroleum Refinery Effluent in Kaduna, Nigeria — shares topic coverage
- Retracted: Determination of Tolerance Potentials of Some Bacteria Species to Heavy Metals Isolated from Contaminated Gold Mining Soil in Abare, Zamfara State — shares topic coverage
- Impact of Precipitation over the Productivity of Sugarcane in Major Agro-climatic Zones of Tamil Nadu — shares topic coverage
- Morphological and Physiological Screening of Aerial Yam (Dioscorea bulbifera L.) for Sodium Chloride Tolerance — shares topic coverage
- Anopheles gambiae Larval Development and Toxicity’s Reduction of Conventional Agriculture Insecticides in the Laboratory Conditions — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
441
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.