<![CDATA[In the world of work the Grade Point Average (GPA) is not a guarantee of one's success, but there are many reasons that can be used as the basis for the importance of having a high GPA. Factors such as GPA are the initial requirements for selection to enter the world of work, get scholarships and continue studies to the next level. The research objective was to see the effect of the GPA on the study period of Mathematics Study Program students, predict the length of study based on the student's GPA and see the relationship between the GPA and the length of study. The analytical method used is Linear Regression Analysis and Correlation Analysis. The results show a simple linear regression equation model, namely the length of study = 26.5 - 5.24 GPA. This means that each GPA increases by one, the length of study will decrease by 5.24 semesters. Students who get a GPA of 2.68 are predicted to take a study period of between 11.92 and 12.90 semesters, while students who have a GPA of 3.64 are predicted to take a study period of between 6.8 and 7.95 semesters. In addition, students with a GPA of less than 2.00, namely 1.73, are predicted to drop out (DO). The correlation value is r = -0.71 with a p-value of 0.000. The value states that there is a strong negative correlation between the GPA variable and the length of study. An increase in student GPA causes the length of study for students to decrease, and vice versa if the GPA of students decreases, the length of study will increase. Keywords: Grade Point Average,length of study, Prediction, Correlation]]>
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