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SPSS相关分析与线性回归分析在我国物流业增加值分析中的应用 被引量:5

Correlation and Linear Regression Analysis Applied in the Analysis of Added Value of Chinese Logistics Industry
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摘要 物流业增加值是反映物流业发展状况的核心指标,是衡量相关企业经营业绩及经济发展水平的重要依据,因而对其进行分析并在此基础上得出的结论具有重要的现实意义。文章以中国物流与采购网公布的有关统计数据为依托,通过SPSS相关分析及线性回归分析,对反映物流业发展状况的物流业增加值、物流固定资产投资、社会物流费用等指标的相互关系进行探讨,得出了一些对于物流业增加值的分析及预测有较强实际意义的结论,可供有关部门参考。 Added value of logistics industry is the major measure of development of logistics industry, and it is the important basis of measuring operation performance of related companics and level of economic development. Therefore the conclusions based on the analysis of it are of great practical significance. Depended on the statistical data released by Chinese logistics and purchasing net and through correlation and linear regression analysis based on SPSS, the paper has discussed the interrelation among the added value of logistics industry, investment of fixed logistical assets and social logistics costs which reflect the status of development of logistics industry, and has drawn some conclusions which are important to the analysis and prediction of added value of logistics industry, the conclusions can refer to the relevant departments.
出处 《物流科技》 2009年第7期92-95,共4页 Logistics Sci-Tech
基金 国家自然科学基金资助项目(70671030) 广东省普通高校人文社科重点研究基地重大项目(08jdxm63004)
关键词 物流业增加值 物流固定资产投资 社会物流 总费用 相关分析 线性回归分析 added value of logistics industry investment of fixed logistical assets social logistics costs correlation analysis linear regression analysis
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