Forecasting Academic Performance using Multiple Linear Regression
Journal: International Journal of Trend in Scientific Research and Development (Vol.3, No. 5)Publication Date: 2019-15-8
Authors : Yee Mon Khaing Aung Cho;
Page : 1187-1189
Keywords : Data Miining; Multiple Linear Regressions (MLR); Statistical Package for Social Sciences (SPSS);
Abstract
Regression is one of the most powerful statistical methods used in educational researches. This paper shows the important instance of regression methodology called Multiple Linear Regression MLR and proposes a framework of the forecasting of the students' test scores, based on Intelligence Quotient IQ and the number of hours that the students studied. This paper was applied the aid of the Statistical Package for Social Sciences SPSS version 23 and PYTHON version 3.7. Yee Mon Khaing | Aung Cho "Forecasting Academic Performance using Multiple Linear Regression" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26517.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/26517/forecasting-academic-performance-using-multiple-linear-regression/yee-mon-khaing
Other Latest Articles
- Addressing Sustainability Exposures through Corporate Social Responsibility in Nigeria An International Perspective
- Speed Control of DC Motor using PID Controller for Industrial Application
- Right to Intimacy as an Expression of Feminism in the Works of Writer Manju Kapur
- Study and Analysis of Insulator used in Substation
- Smart Blind Walking Stick Using Arduino
Last modified: 2019-09-09 14:29:51