==== 回归估计的标准误（Standard error of regression estimation） ====
1、回归方程是一种预测，但并未给出预测准确性的信息；

2、回归估计的标准误给出回归线和数据点之间标准距离的量度；

1. The regression equation is a prediction, but it does not give information about the accuracy of the prediction;

2, the standard error of regression estimation gives a measure of the standard distance between the regression line and the data point;
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=== 如何计算回归估计的标准误（How to calculate the standard error of regression estimation） ===
1、首先计算误差和方（First calculate the error sum of squares）

SS<sub>error</sub>={{::误差和方.jpg?nolink&100|}}

2、将误差的和方除以自由度，开方

自由度为：df = n-2
Divide the sum of the errors by the degrees of freedom, square root

The degrees of freedom are: df = n-2

S<sub>error</sub>={{::误差标准误.jpg?nolink&300|}}

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=== 标准误和相关系数之间的关系（The relationship between standard error and correlation coefficient） ===
SS<sub>error</sub>=(1 - r<sup>2</sup>) SS<sub>Y</sub>