Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 23, 2023


Pages


DOI

Article

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

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Authors

Yanjun Guan Affiliation:
Department of Foreign Languages and International Education, Henan Polytechnic Institute, Nanyang, Henan, 473000, China.


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


Citation

Guan, Y. (2023). The construction of english teaching resource library in universities based on mathematical and statistical multiple regression model. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00747

Published by: Engineering Journals

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