Formulation of Logit Regression

Authors

  • A. Asraf Faculty of Industrial Management, Universiti Malaysia Pahang, 26300, Pahang, Malaysia.
  • S. Sorooshian Faculty of Industrial Management, Universiti Malaysia Pahang, 26300, Pahang, Malaysia
  • J. K. Cheng Faculty of Industrial Management, Universiti Malaysia Pahang, 26300, Pahang, Malaysia

Keywords:

Logistic regression, Logit regression, Modeling, Regressor

Abstract

This article is in the form of a short tutorial discussion, presenting the logistic (logit) regression mathematical method. Logistic regression as one of the most popular modeling approach used in the research and decision makings, has its own specialty than other common linear regression method whereby the response variable is discrete and form of S-shaped. The paper starts with the short review of logistic regression method, formulation of the method and finally, authors’ conclusion is the last section of this paper.

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Published

2023-09-25

How to Cite

A. Asraf, S. Sorooshian, & J. K. Cheng. (2023). Formulation of Logit Regression. Journal of Advanced Research Design, 21(1), 6–9. Retrieved from https://akademiabaru.com/submit/index.php/ard/article/view/4786
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