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Multiple Linear Regression Analysis of Earnings per Share about Common Stock in Listed Companies

机译：上市公司普通股每股收益的多元线性回归分析

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This article analyzed the index systems of finance in listed company annals with the method of multiple linear regression analysis. It took earnings per share as explained variable, the rest as the explanatory variable. It got rid of the extraordinary values and strong effect dots through Centered Leverage Value and Cook's Distance etc. It tested Residual normal distribution, equal variance,independence, the linear relationship between dependent and independent variables. It eliminated multicollinearity gradually among independent variable. At last, we obtained a multiple linear regression equation including a constant about earnings per share with 8 explained variables and a regression equation of standardized coefficients which eliminate the impact of dimension. It can be used in quantitative analysis and qualitative analysis with this multiple linear regression equation, and it also can be used in economic forecasting and economic analyzing.
机译：本文采用多元线性回归分析方法，对上市公司年报财务指标体系进行了分析。每股收益作为解释变量，其余作为解释变量。通过中心杠杆值和库克距离等方法消除了异常值和强效点。对残差正态分布，等方差，独立性，因变量和自变量之间的线性关系进行了检验。它逐渐消除了自变量之间的多重共线性。最后，我们获得了一个多元线性回归方程，其中包括具有8个解释变量的关于每股收益的常数，以及消除了尺寸影响的标准化系数回归方程。利用该多元线性回归方程，可以用于定量分析和定性分析，也可以用于经济预测和经济分析。

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