THE PREDICTION OF STUDENTS’ PERFORMANCE IN SPECIAL DISCIPLINES BASED                         ON REGRESSION EQUATIONS 

Bogomolov Alexey Ivanovich, Doctor of technical sciences, professor, sub-department of armaments, Penza Artillery Engineering Institute
Derkachenko Valentin Nikolaevich, Candidate of technical sciences, associate professor, sub-department of applied math and economical operations research, Penza State Technological Academy
Aryutkina Tatyana Alexeevna, Lecturer, sub-department of Russian language, Penza Artillery Engineering Institute 

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Access to implication of contact regression equations between various subjects is worded. They allow to predict a progress of qualifying in any disciplines and hereon to control quality of trading. 

forecasting, regression equation, quality of trading, data