基于Logistics回归模型的大学生网购与学业成绩的关系研究

Research on Relationship between Online Shopping and Academic Performance of University Students Based on Logistic Regression Model

摘要: 随着网购行业的快速发展，网购已经成为了人们生活中必不可少的一部分，本文主要研究了大学生网购与学业成绩的关系。本文以问卷调查的方式收集了大学生网购和学业成绩的相关数据，先利用可视化分析，分析了问卷数据反映的直观信息。再用斯皮尔曼相关性分析和逻辑回归的方法找到了对学业成绩有显著性影响的因素，最后总结了大学生网购与学业成绩的关系。结果表明每周浏览购物软件频率、大学期间获校级及以上奖项和自我对学习成就的评价对当代大学生专业课成绩有显著性影响。

Abstract: With the rapid development of the online shopping industry, online shopping has become an essential part of people’s lives. This paper focuses on the relationship between online shopping and academic performance of university students. This paper collects data related to online shopping and academic performance of university students by means of a questionnaire survey, and first uses visual analysis to analyse the intuitive information reflected by the questionnaire data. Then, we used Spearman correlation coefficients and logistic regression to find the factors that have a significant influence on academic performance, and finally concluded the relationship between online shopping and academic performance of university students. The results indicate that the frequency of browsing shopping software per week, the awards won at university level and above during university and self-evaluation of academic achievement have significant effects on the performance of contemporary university students in professional courses.