摘要
SAS、SPSS等统计软件虽然功能强大但价格不菲,开源的R软件为我们提供了更好的选择。虽然在R社区中可以查到R的所有操作指南,但是信息分散而不成体系。本文针对线性回归分析符合基本假设的情况,借助具体例题,较系统地总结在R环境下的回归分析过程。
Statistical softwares such as SAS and SPSS are powerful but expensive,instead,open source R software provides us with a better choice.Although nearly all of R’s operation guidelines can be found in the R community,the information is scattered and not systematic.Therefore,based on the teaching characteristics of higher vocational colleges and the basic hypothesis of linear regression analysis,this article systematically summarizes the regression analysis process in the R environment with the help of specific examples,hoping to provide reference for curriculum teaching.
作者
王晓刚
WANG Xiao-gang(Yangzhou Polytechnic College,Yangzhou 225009,China)
出处
《扬州职业大学学报》
2020年第2期34-38,共5页
Journal of Yangzhou Polytechnic College
基金
扬州职业大学科研课题(2017RW10)。
关键词
直线回归
多元线性回归
回归诊断
R软件
linear regression
multiple linear regression
regression diagnosis
R software