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← Standard Error of Estimate - Intro to Inferential Statistics

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Showing Revision 5 created 05/24/2016 by Udacity Robot.

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