Regression model of the performance of student's groups in higher education institution
Abstract
Regression model of the performance of student's groups in higher education institution
Incoming article date: 15.03.2016The article discusses approaches to solving the problem of increasing academic performance of students. On the basis of the multiplicative convolution of the underlying factors influencing the examination results, the proposed structure of the regression model. Considers the problems of multicollinearity of the factors and ""gross errors"". The developed mathematical model and method of constructing regression models of study groups. The proposed system of classification groups depending on the classes mapped to them models. Using the proposed method was processed information from the database of assessments portal OOH don state technical University. Analysis of processed data showed that the adequacy of the generated regression models were performed for 99.7% of groups. It is shown that the proposed model and method can be used in support of the educational process.
Keywords: higher education, academic performance, regression analysis, factors, output variable, the adequacy of the model, correlation coefficient