A linear regression modeling study of university language education and students’ expressive skills

This study aims to investigate the influence of university language education on students' expressive ability, and uses a questionnaire to collect the relevant factors affecting the relationship between students' expressive ability and university language education.The key principal factors were extracted from many variables by principal component analysis to simplify the data structure and retain the main information.Subsequently, a multiple linear regression model was constructed and the least squares method was applied to estimate the model parameters in order to quantitatively analyze the linear relationship between each principal component and students' expressive ability.In this paper, four principal factors, namely, "language organization ability, communication ability, language use ability and intonation ability", were identified under the principal component analysis technique, and their total variance explained reached 56.326%.It is found that the average score of students' expression ability is in the middle normal level, but the extreme difference of score between different students is as high as 27, which shows that there is a big gap between students' expression ability.The correlation coefficient between students' expressive ability and university language education is 0.8947, and the correlation coefficients of the four sub-dimensions of the two sig values are less than 0.01, indicating that the stronger the university language education, the higher the level of students' expressive ability.And the regression equation of students' expression ability and university language education is obtained as Y=0.893X-15.874.