Variance Analysis of Regional Per Capita Income Based on Principal Component Analysis and Cluster Analysis

Abstract

This paper is to study the relationships among the annual per capita income, areas and professions. The data of 19 different professions about 31 areas was processed through the establishment of model. And the principal component analysis, cluster analysis and discriminant analysis were used. In this paper, we know that geographical environment have an effect on the per capita income and the Macroscopic Control Policy of government can improve the level of average income.