5. Numerical Analysis of Binary Logistic Regression
In this paper binary logistic regression analysis isperformed with dependent
variableof total marks obtained in higher secondary and matriculation examination, in
presence of independent variables gender, medium of instruction, type of schools, board
of examinations, category of schools and location of schools.
By applying the method of Correspondence Analysis (CA),it is observed that,
there exists a significant correlation between (i) type of schools and board of
examinationswith r = 0.228, (ii) type of schools and category of schools with r = 0.141
and (iii) category of schools and board of examinations with r = 0.266. Here, we
perform binary logistic regression analysis.
5. Numerical Analysis of Binary Logistic RegressionIn this paper binary logistic regression analysis isperformed with dependentvariableof total marks obtained in higher secondary and matriculation examination, inpresence of independent variables gender, medium of instruction, type of schools, boardof examinations, category of schools and location of schools.By applying the method of Correspondence Analysis (CA),it is observed that,there exists a significant correlation between (i) type of schools and board ofexaminationswith r = 0.228, (ii) type of schools and category of schools with r = 0.141and (iii) category of schools and board of examinations with r = 0.266. Here, weperform binary logistic regression analysis.
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