Regression and Correlation Analysis via Dynamic Graphs

Kang, Hee Mo;Sim, Songyong

  • 발행 : 2003.12.01


In this article, we propose a regression and correlation analysis via dynamic graphs and implement them in Java Web Start. For the polynomial relations between dependent and independent variables, dynamic graphics are implemented for both polynomial regression and spline estimates for an instant model selection. The results include basic statistics. They are available both as a web-based service and an application.


Spline;Correlation Coefficient;Java Web Start;Studentized Residual;Cook′s Distance


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