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.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/26517/forecasting-academic-performance-using-multiple-linear-regression/yee-mon-khaing
Keyword :
Data Miining, Multiple Linear Regressions (MLR), Statistical Package for Social Sciences (SPSS)