Analyses of Postgraduates' Entrance Examination Scores Based on Linear Regression with Dummy Variables

Detecting the main factors influencing the students' score is an important part of the student evaluation system. Several factors that have significant influence on postgraduates' entrance examination scores including enrollment category, university category, age, gender, fresh graduate were studied by ANOVA in this paper. Quantitative analysis of the correlation between the discrete variables and postgraduates' entrance examination scores were performed by linear regression with dummy variables and 85% confidence prediction interval of postgraduates' entrance examination scores were obtained. Data support were provided by these results for graduate school enrollment work.