Paper Title:
Study on Key Influence Factors Identification Based on Multiple Linear Regression Methodology
  Abstract

With the rapid development of economy in Jilin province, people’s life standard improves steadily. There are lots of factors which influence the growth of economy. We proposed a multiple variable linear regression methodology in this paper to identify the corresponding influence factors which concerning to the growth of GDP in Jilin province. By using multiple linear regression method, the key influence factors which are concern to the growth of GDP in Jilin province are identified, which include primary industry, secondary industry, tertiary industry and buildings price. We can draw conclusions that the growth rate of GDP is positive linear correlation to tertiary industry and buildings price. At the same time, tertiary industry is a more important influence factor than buildings’ price.

  Info
Periodical
Edited by
Helen Zhang and David Jin
Pages
678-681
DOI
10.4028/www.scientific.net/AMM.63-64.678
Citation
J. M. Niu, "Study on Key Influence Factors Identification Based on Multiple Linear Regression Methodology", Applied Mechanics and Materials, Vols. 63-64, pp. 678-681, 2011
Online since
June 2011
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Price
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