This paper proposes a multivariate linear regression model for college housing environment and students’ quality of life from the concept of educating people in the Shuyuan system. A university is selected as the research object, and the housing environment is divided into five dimensions: building layout, architectural style, building colour, building density and building greenery. Determine the data source, adopt multiple linear regression model to quantitatively explore the role relationship between college housing environment and students’ quality of life. The regression equation for the regression of college housing environment and students’ quality of life is 0.237+0.146*building layout (Q1)+0.297*architectural style (Q2)+0.184* architectural colour (Q3)+0.102*architectural density (Q4)+0.121*architectural greenery (Q5), and the variable VIF satisfies the condition of 1<VIF<5, which indicates that the regression equation does not have multiple covariance. This paper demonstrates the quantitative mechanism of action between college residential environment and students’ quality of life in all aspects, so that people have a clearer perception of college residential environment and students’ quality of life.
