摘要
R语言以其编程性、快速更新及强大的可视化功能逐步成为统计研究的一种重要分析软件。本文基于R语言,对翼型自噪声数据集进行回归分析,分别拟合了一个不含交互项和含有交互项的回归模型,并通过回归诊断检验模型假定。利用方差分析和信息准则选择了最佳模型,并利用测试集对最佳模型的预测能力进行评估。
In this paper,R language is used for regression analysis of airfoil self noise data set.A regression model without interaction term and a regression model with interaction term are fitted respectively,and the model is tested by regression diagnosis.The analysis of variance and information criterion are used to select the best model,and the test set is used to evaluate the prediction ability of the best model.
作者
杨宇凌
YANG Yuling(School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan,China,430073)
出处
《福建电脑》
2021年第8期25-32,共8页
Journal of Fujian Computer
关键词
R语言
线性回归分析
预测模型
R Language
Linear Regression Analysis
Prediction Model