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.
WILLIAMS, E (2022). Predicting Students Performance Using The Method Of Least Squares. Repository.mouau.edu.ng: Retrieved Dec 04, 2024, from https://repository.mouau.edu.ng/work/view/predicting-students-performance-using-the-method-of-least-squares-7-2
EBUBE, WILLIAMS. "Predicting Students Performance Using The Method Of Least Squares" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 15 Dec. 2022, https://repository.mouau.edu.ng/work/view/predicting-students-performance-using-the-method-of-least-squares-7-2. Accessed 04 Dec. 2024.
EBUBE, WILLIAMS. "Predicting Students Performance Using The Method Of Least Squares". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 15 Dec. 2022. Web. 04 Dec. 2024. < https://repository.mouau.edu.ng/work/view/predicting-students-performance-using-the-method-of-least-squares-7-2 >.
EBUBE, WILLIAMS. "Predicting Students Performance Using The Method Of Least Squares" Repository.mouau.edu.ng (2022). Accessed 04 Dec. 2024. https://repository.mouau.edu.ng/work/view/predicting-students-performance-using-the-method-of-least-squares-7-2