基于多项有序逻辑回归的大学生数学成绩影响因素分析

Analysis of Influencing Factors on College Students’ Mathematics Scores Based on Multiple Ordered Logistic Regression

摘要: 运用多项有序逻辑回归分析的方法，建立模型，通过平时学习情况对大学生成绩等级进行分析预测，结果表明，有考研计划、听课认真情况以及高考数学成绩会对大学生数学成绩趋于优秀有较大的影响，自觉做作业和整理笔记对大学生期末数学成绩没有较大的促进作用，课前适当程度的预习对大学生数学成绩有一定的帮助，同时模型预测准确度达51.69%。

Abstract: By using the method of multiple ordered logistic regression analysis for modeling, through the usual learning situation, college students’ performance rating has been predicted and analyzed. The results show that plan for postgraduate entrance examination, careful listening in class and mathematics result of college entrance examination will have a greater impact on college students’ math scores tending to be excellent. Consciously doing homework and taking notes have no significant effect on the final math scores of college students, while properly previewing before class helps in the scores. At the same time, the model prediction accuracy can reach 51.69%.