Theoretical and Case Study on Multiple Equal Part Linear Regression

Zu-chang ZHONG, Xue-ying CHEN, Hui-Ling Yang, Gang WANG, Wen-Tsao PAN

Abstract


This paper is to propose a new concept, which is called the Multiple Equal Part Linear Regression, in which the analysis data are divided into several equal parts and then the linear regression model is built up. This way, we will be able to observe the trend of sample data in each equal part. Difference comparison can be made with the general standard linear regression model.

Keywords


Extreme value, Multiple regression analysis, Equal part linear regression, GNP


DOI
10.12783/dtcse/cmsam2017/16372

Refbacks

  • There are currently no refbacks.