So that it minimizes the squared error.

所以它最小化平。

In the cost function, the squared error for the second example is also 0 squared.

在成本函数中，第二个示例的平也是 0 平。

And then we're going to square that error.

然后要纠正这个错。

So this is the squared error of the line.

所以这是直线的平。

And what we want to do is minimize this squared error from each of these points to the line.

要做的是最小化从每个点到直线的平。

So let me define the squared error against this line as being equal to the sum of these squared errors.

因此，让将这条线的平定义为等于这些平的总和。

Sometimes, it's called the squared error.

有时，它称为平。

And we want the squared errors between each of the points of the line.

想要直线上每个点之间的平。

Let me call this the squared error from the average.

让将其称为平均值的平。

So if we find the m and the b values that satisfy the system of equations, we have minimized the squared error.

所以如果找到满足程组的 m 和 b 值，就已经最小化了平。

We have the squared error of the line.

有直线的平。

The total variation in y, which is the squared error from the mean of the y's.

y 的总变，它是 y 的均值的平。

If the squared error of the line is really small what does that mean?

如果线的平真的很小，那意味着什么？

Our goal is to find the m and the b, which would define an actual line, that minimize the squared error.

的目标是找到 m 和 b，它将定义一条实际直线， 使平最小化。

If the squared error of the line is small, it tells us that the line is a good fit.

如果直线的平很小，则说明直线拟合得很好。

So are squared error versus our line, our total squared error, we just computed to be 2.74.

平与的线，的总平，刚刚计算为 2.74。

So once again, this is just the squared error of that line with n points.

所以再一次，这只是那条有 n 个点的直线的平。

This is the squared error of the line axis.

这是线轴的平。

And so what we calculated next was the total error, the squared error, from the means of our y values.

所以接下来计算的是总，平，来自的 y 值的平均值。

You put it into this expression for the squared error of the line.

您将它放入此表达式中以获得直线的平。