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

机译：基于多元线性回归方法的关键影响因素识别研究

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摘要

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.
机译：随着吉林省经济的快速发展，人民的生命标准稳步提高。有很多影响经济增长的因素。我们提出了本文多变量线性回归方法，以确定吉林省GDP的增长的相应影响因素。通过使用多元线性回归方法，确定了吉林省GDP增长关注的关键影响因素，包括主要产业，二级行业，第三产业和建筑价格。我们可以得出结论，GDP的增长率是与第三产业和建筑物价格的正线性相关性。与此同时，第三产业是一个比建筑物价格更重要的影响因素。

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