Study the influencing factors of passing or failing the exam

Previous studies have analyzed the factors affecting academic performance and concluded that the length of study is related to academic performance. However, there are other factors worth investigating. Data from 500 students were analyzed using the Binary Logistic Regression model. This paper studies the influence of Study Hours and Previous Exam Scores on pass or fail the exam. The results of the likelihood ratio test of the binary Logit regression model show the validity of the model and the significance of the construction of the model. In the Hosmer-Lemeshow fit test, the p-value is greater than 0.05, the model is considered to have good goodness of fit and passes the HL test. Through research, the author finally concludes that Study Hours and Previous exam Scores have a positive impact on passing the exam. Therefore, this paper argues that people can improve the likelihood of passing the exam by increasing their study time before the exam and getting better grades in the previous exam.