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Research on New Energy and Traditional Energy Based on SPSS

机译:基于SPSS的新能源与传统能源研究

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In China, the main profit of the energy industry is traditional energy sources, the proportion of traditional energy companies take on a high number. However, China has been putting forward green economy, with strongly support of national policy, the new energy enterprises emerge in an endlessly stream, the businesses involved in new energy economy profit a lot and that everyone is better off, which leads to a relatively strong upward tendency for new energy stocks. Therefore, based on such a fierce competition in the energy industry, it is necessary to know if the relevance of the new energy stock and traditional energy stock is positive or negative. This thesis is based on a combination of correlation analysis and regression analysis, analyze the correlation of new energy stock and traditional energy stock, and the sub-sectors of new energy, do research on stock investment strategy through the analysis of convergence. We firstly use SPSS to carry out correlation analysis on stock price, quantitatively illustrate the relationship between the two kinds of stocks, and then calculate the correlation coefficient, determine its correlation strength, at last linear regression analysis by SPSS, and summarize a functional relationship for the stock.
机译:在中国,能源行业的主要利润是传统能源,传统能源公司的比例占据了大量。然而,中国一直在提出绿色经济,强烈支持国家政策,新能源企业出现在无休止的流中,业务涉及新的能源经济利润很多,每个人都更好,这导致相对强劲新能源股的向上趋势。因此,基于在能源行业的这种激烈的竞争中,有必要知道新能源股票和传统能源股票的相关性是否是正的或负面的。本论文基于相关分析和回归分析的组合,分析了新能源股票和传统能源股的相关性,以及新能源的子部门通过分析融合来研究股票投资策略。我们首先使用SPSS对股票价格进行相关性分析,定量说明了两种股票之间的关系,然后计算了相关系数,确定其相关强度,在最后的线性回归分析中通过SPSS,并总结了一个功能关系股票。

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