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首页> 外文期刊>Developing Country Studies >The Application of Logistic Regression Analysis to the Cummulative Grade Point Average of Graduating Students: A Case Study of Students’ of Applied Science, Federal Polytechnic, Ilaro
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The Application of Logistic Regression Analysis to the Cummulative Grade Point Average of Graduating Students: A Case Study of Students’ of Applied Science, Federal Polytechnic, Ilaro

机译:Logistic回归分析在应届毕业生累计平均成绩中的应用:以应用科学系学生为例,联邦理工学院,Ilaro

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Logistic regression deals with the relationship existing between a dependent variable and one or more independent variables. It provides a method for modelling a binary response variable which takes values 1 and 0. In this study, a brief review of the underlying theory for the approach is presented and the logistic regression model to estimate the graduating cumulative grade point average (CGPA) of graduates were fitted and tested. Data were collected from School of Applied Science, Federal Polytechnic, Ilaro, Ogun State. The study reveals that the final year grade point average (GPA) of the graduates has significant effect among other variables. Keywords: Logistic Regression, Odd Ratio, Cgpa, Statistical Significance, Log Likelihood, Standard Error
机译:逻辑回归处理因变量和一个或多个自变量之间存在的关系。它提供了一种建模二进制响应变量的方法,该变量的取值为1和0。在本研究中,对方法的基本理论进行了简要回顾,并提出了Logistic回归模型来估算毕业设计的累积平均成绩(CGPA)。毕业生进行了安装和测试。数据收集自奥贡州伊拉洛的联邦理工应用科学学院。研究表明,毕业生的最后一年平均成绩(GPA)在其他变量中具有显着影响。关键字:Logistic回归,奇数比,Cgpa,统计意义,对数似然度,标准误

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