• Kapil Saxena
• Shailesh Jaloree
• R.S.Thakur
• Sachin Kamley

In these days, predicting student future performance based on their past records is an important concern. The education institutes and universities collect huge amount of data yearly. However, making accurate prediction from that data is very challenging issue due to the involvement of various factors such as academic, non-academic, demographic and social etc.. Due to the competitiveness among the institutes and remain in the lime light, this area has gained so much popularity among scientists, researchers, academicians etc.. This study presents well known and efficient Multiple Regression approach for predicting student performance. The main objective of this research study is to find out student performance so that it will be helpful for teachers and parents to know actual conditions of students before going to final exams.

Education Data Mining, GGC, Multiple Regression, Prediction

"Multiple Regression: A Data Mining Technique for Predicting the Student Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.217-221, August-2018, Available :http://www.jetir.org/papers/JETIRD006032.pdf

"Multiple Regression: A Data Mining Technique for Predicting the Student Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp217-221, August-2018, Available at : http://www.jetir.org/papers/JETIRD006032.pdf