The Construction of English Teaching Resource Library in Universities Based on Mathematical and Statistical Multiple Regression Model

Abstract

This research creates an online communication platform using a mathematical statistics multiple regression model to modify the online lesson plan. The irregular variables in the resource base data are precisely measured, and the regularity of the variables is discovered using mathematical statistics. To improve the teaching resource base, the partial derivatives of the sum of squares are found, the regression values are obtained, and the dispersion of the regression values are all obtained using the maximum likelihood estimation approach. Learning English using the developed instructional resource base increased average score by 1.7 points. It demonstrates how the created teaching resource base for English in colleges and universities is effectively used and how multiple linear regression causes the independent and dependent variables to correlate nicely.

Keywords

• mathematical statistics
• multiple regression model
• college english teaching
• maximum likelihood method
• teaching resource base
• 97c50