An explication of student's university performance by logistic regression models

This study examines the relationship between academic success of engineering students from the University of los Andes, as measured by their performance, with some variables related to their educational and social environment from the point of view of the logistic regression models. Among all variables considered, it was determined that the average high school only has a significant effect on academic performance in the first semester. To explain academic performance in the second semester it was found that only the variables first semester average and sex were found to have a significant effect. The results showed that students with high school averages in good or fair are more likely to achieve better academic performance in the first semester, those with poor averages in high school. With regard to academic performance in the second semester, the data suggest that those who are more likely to achieve better academic performance are female students with good grade point averages in the first semester.