| With the development of the country, the country raise concern about developing talent, the purpose of college admissions is selecting talents for the country. The country would base on the quality of talent for the country to ranking college.So the higuer ranking will obtain more educational resources. In the case of countries do not allow substantial enrollment, in order to improve the ranking, universities will try to improve the quality of students. The purpose of this study is that which available methods can we take to improve the quality of students.This article find some factors may have affected the quality of students and get the data from the data website. Then make correlation analysis for the quality index of matriculate and those factors, using the multiple linear regression analysis to establish the multiple regression model, using the significant test of regression equation for the regression model. We use the significant test of parameter and the stepwise regression on variable selection, using principal component analysis to process the model variables multicollinearity. Finally we get the "optimal" multiple regression model what we need. We uesd boxplot method and residuals method to test outliers for the multiple regression model, and made a prediction for the model. The results of the prediction show that the model is reliable. Then from the model,we find some ways to improve the quality of students. |