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Determined Based on Multiple Linear Regression Model the Remaining Residuals Regression Coefficient

机译:基于多元线性回归模型确定剩余残差回归系数

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In this paper,by means of the remaining residuals regression to determine the method of multiple linear regression coefficients derived regression coefficients with the classical linear regression model coefficients determined by the least squares method to draw the normal equations,thus solving the normal equations identical to the solution,the results of calculating the coefficients of the linear regression equation,can be seen from the argument of this article,the partial regression coefficient reflects the contribution of explanatory variables on the response variable,this contribution has been to remove the contribution of other explanatory variables calculated on the basis of this is to use the remaining residuals method to calculate the regression coefficients obtained with the classical normal equations is exactly the same reasons,and thus help to further understanding and application of partial regression coefficients.
机译:本文通过剩余残差回归法确定多元线性回归系数的方法,用最小二乘法确定的经典线性回归模型系数推导回归系数来绘制正态方程,从而求解与正态方程相同的正态方程。解决方案中,线性回归方程系数的计算结果,可以从本文的论证中看出,偏回归系数反映了解释变量对响应变量的贡献,这一贡献已被其他解释性贡献去除。在此基础上计算出的变量是使用剩余残差法来计算与经典正态方程获得的回归系数完全相同的原因,从而有助于进一步理解和应用偏回归系数。

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