Improving the Prediction Accuracy of Academic Performance of the Freshman Using Wonderlic Personnel Test and Rey-Osterrieth Complex Figure

Prediction of academic performance of the students continue to be hot topic in educational data mining field. In this paper, a linear regression analysis was conducted on IQ test, Rey-Osterrieth Complex Figure (ROCF) and Cumulative Grade Points Average (CGPA). A dataset from 111 undergraduate (59 females, 52 males) students from 2 different faculties (Medicine and Computer Science) were collected. The results show that both IQ and ROCF are significantly correlated to CGPA. Linear regression test shows that the combination of IQ-ROCF (β = 0.565) can serve as good feature to predict CGPA.