Predicting Students Performance Using The Method Of Least Squares

ABSTRACT

This research study investigated the relationship that exists between JAMB scores, PUME scores and students' academic performance which was considered using CGPA. The numerical tool used was the method ofleast squares and the model , was the multiple linear least squares. JAMB scores and PUME scores were the independent variables while CGPA was the dependent variable. Further, the sample comprises or one hundred and seventy two students selected from the Department Of Mathematics, College Of Physical and Applied Science, Michael Okpara University of Agriculture Umudike. The T-test was used to test the significance of each of the estimates in the model while the F-test was used to test the overall significance of the model. The result indicated that no strong linear relationship exist between JAMB Scores, PUME Scores and CGPA, In other words, CGPA does not depend on JAMB scores and PUME scores. Correlation Analysis revealed that there is a very weak relationship between the variables involved.