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Now we need a way to quantify this and we do that much the same way that we
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calculate the standard deviation. We take each residual, in other words the
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observed minus expected value. We square them to get rid of negatives. That's
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the same as finding the area of each of these squares. That essentially we find
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the average square. But we correct for the fact that it's a sample, by dividing
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by N-2, where N is the number of points. In this case there are six. And then
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finally, we take the square root to put it back into terms of distance rather
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than squared values. This is called the standard error of the estimate.