方差分析(ANOVA)：表示回归的均方差(Regression mean Square)=3.591，盈余的均方差(Residual Mean Square)=0.187，F=19.213，P=0.007。其中重要的数据分析为F值所对应的P值的大小。
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mean square regression plane [数] 均方回归平面
mean square regression [数] 均方回归
linear mean-square regression line [数] 线性均方回归线
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
The influencing factors for errors in regression equation are discussed and the relations between mean square error of regression equation and its influence factors are deduced.
对回归方程误差的影响因素进行了分析，导出了回归方程的均方误差与其影响因素之间的关系式。
The investigation object of this paper is the standard canonical form. In order to the mean square error, I analyze the existence and choiceness of ridge regression K in some spectrum.
本文以多元线性回归模型的典则形式为研究对象，从减小均方误差的角度出发，在一定的范围内分析了岭参数K 的存在性和岭估计的优良性。
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