APPLYING LOGISTIC REGRESSION MODEL TO THE EXAMINATION RESULTS DATA

Authors

  • Goutam Saha Govt. Degree College, Kamalpur, Tripura

Keywords:

Logistic Regression Model, Correspondence Analysis, Odds Ratio, Likelihood Ratio Tests, Wald Statistic, Shortest Confidence Interval.

Abstract

The binary logistic regression model is used to analyze the school examination results (scores) of 1002 students. The analysis is performed on the basis of the independent variables viz. gender, medium of instruction, type of schools, category of schools, board of examinations and location of schools, where scores or marks are assumed to be dependent variables. The odds ratio analysis compares the scores obtained in two examinations viz. matriculation and higher secondary.

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References

Agresti, A. (1996). An Introduction to Categorical Data Analysis, John Wiley

and Sons, Inc.

Hosmer, D. and Stanley, L. (1989). Applied Logistic Regression, John Wiley

and Sons, Inc.

Menard, S. (1995). Applied logistic regression analysis (Sage University Paper

Series on Quantitative Applications in the Social Sciences, 07–106), Thousand

Oaks, CA: Sage.

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Published

2011-12-05

How to Cite

Saha, G. . (2011). APPLYING LOGISTIC REGRESSION MODEL TO THE EXAMINATION RESULTS DATA. Journal of Reliability and Statistical Studies, 4(02), 105–117. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21981

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