摘要
为了提高考试评价和预测的科学性,根据多元线性回归模型实现考试成绩的量化,创建考试成绩评价和预测的回归模型。以英语考试为例,汇总学生第一学期考试成绩与结业考试成绩,创建成绩分组数据。并且创建多元线性回归模型,得到期末卷面成绩、分班成绩、高考成绩、英语平时成绩、四级考试成绩的线性关系。创建多元线性回归模型并对模型进行测验,仿真测试结果验证,预测成绩可靠合理。
In order to improve the scientific nature of examination evaluation and prediction,the regression of examination results with a multi-dimensional linear regression model is rexlised,and a regression model of examination performance evaluation and prediction is created.Take the English test as an example,summarize the students'first semester test results and the completion test results,and create the results group data.In addition,a diversified linear regression model was created,which obtained the linear relationship between the final volume results,class scores,college entrance examination results,English peacetime results,and English CET-4 examination results.Modeling and test the model,expressed by simulation test results,the prediction results are reliable and reasonable.
作者
郝翠萍
HAO Cuiping(School of Education of Yulin College,Yulin 719600,China)
出处
《电子设计工程》
2021年第15期142-145,共4页
Electronic Design Engineering
基金
2019年陕西省教育厅专项科研项目(19JKD993)。
关键词
多元线性回归模型
考试评价
预测
仿真
multiple linear regression model
examination evaluation
prediction
simulation
