Study on Key Influence Factors Identification Based on Multiple Linear Regression Methodology

Abstract:

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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.

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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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$35.00

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