Let me take you back to that regression line.

咱们再看一下那条回归曲线。

Our regression line is going to be y is equal to-- We figured out m.

我们的回归线将是 y 等于-- 我们计算出 m。

That right there is the slope of our regression line.

右边是我们回归线的斜率。

This is how we figured out the slope of our regression line.

这就是我们计算回归线斜率的方法。

They are saying that you're approximating the population's regression line from a sample of it.

他们说你正在从一个样本中近似估计人口的回归线。

In the next video, we'll actually look at some data samples and calculate their regression line.

在下一个视频中，我们将实际查看一些数据样本并计算它们的回归线。

This right here is the numerator when we were trying to figure out the slope of the regression line.

这就是我们试图计算回归线斜率时的分子。

It tells us how much of the total variation is not described by the regression line.

它告诉我们有多少总变异没有被回归线描述。

And what we want to do is find it the best fitting regression line, which we suspect is going to look something like that.

我们要做的是找到最合适的回归线，我们怀疑它看起来像那样。

We got to a formula for the slope and y-intercept of the best fitting regression line when you measure the error by the squared distance to that line.

当您通过到该线的平方距离测量误差时，我们得到了最佳拟合回归线的斜率和 y 截距的公式。