The concept of regression goes back to the mathematician Gauss, who talked about fitting a line through a scatter of points.
回归这个概念要追溯到数学家高斯，讨论的是从若干散点中切合出一条直线。
To take an extreme example, imagine that an electron does not scatter in an iron layer unless its spin points in the same direction as the layer's magnetization.
举一个极端的例子，假设一个电子没有在一个铁层散射，除非与层的磁化方向相同地旋转。
It seems to have more data points embedded in its scatter plots than our galaxy has stars.
这看起来就是把数据要点嵌入散点图里，如同我们的银河系遍布繁星一般。
This could be 1979, this could be 1980, and we keep adding points so we have a whole scatter of points.
假设这里是1979年，这里是1980年，一直添加数据点，就形成了一个散点图。
What Gauss did was said, let's fit a line through the point — the scatter of points — and that's called the regression line.
高斯说，做这样的一条直线，切合所有散点，这就是回归直线。
With this one PostScript instruction, you can produce a page of data points in a scatter plot.
使用这一条 PostScript指令，您可以在散点图中生成一页数据点。
Coordinate Tracking is available for scatter and regression plots to quickly locate individual data points.
同等的跟踪适用于少量和回归密谋迅速找到个别的取值点。
Results According to scatter plots of row and column points, some diseases have the obvious seasonality.
结果从对应分析的因子负荷图中可以看出有些疾病具有明显的季节性。
Conclusion the scatter plot of row and column points indicates directly the characteristics of the distribution and the inner relationship.
结论因子负荷图直观地表述了各疾病与月份之间的内在联系与分布特征。
Experimental Results using real SAR images demonstrate that the method can not only reduce the speckle but also preserve edges and radiometric scatter points.
用真实SAR图像实验表明，该文提出的方法能够有效地抑制斑点噪声，同时能够很好地保存边缘细节结构与强散射中心。
Experimental Results using real SAR images demonstrate that the method can not only reduce the speckle but also preserve edges and radiometric scatter points.
用真实SAR图像实验表明，该文提出的方法能够有效地抑制斑点噪声，同时能够很好地保存边缘细节结构与强散射中心。
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