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    Re: Taking four stars for checking accuracy of fix - and "Cocked Hats"
    From: Peter Fogg
    Date: 2008 Aug 5, 03:02 +1000

    George declares:
    > ... in the
    > circumstances of that exercise,
    
    Regression analysis will produce a line from ANY scatter of points.
    Its wonderful, but its not necessarily useful.
    
    The "circumstances of that exercise" are artificial, with alleged
    "random scatter".  Slope analysis works so well because the data
    points are not random, they follow the slope except for error.
    Therefore the deviation from the slope is an indication of error.
    
    Random data points are not relevant to slope analysis.
    
    While we have good reason to be deeply suspicious of your contrived
    examples, the main problem, again, is that you seem determined to
    prove that slope analysis MUST be no more useful than averaging -
    resolutely ignoring the elephants in that room (eg; the elimination of
    gross error).  Wrong attitude.
    
    I would have thought the more rational approach would be to put
    prejudice to one side and try to approach something unfamiliar with as
    open a mind as possible.
    
    The mention of gross error reminds me of another advantage of slope
    analysis over averaging or regression analysis.  What looks like an
    outlier may not be.
    
    This has actually happened to me, on more than one occasion.  While
    concentrating on the seconds, the wrong minute of time gets recorded.
    Or while focused on the minutes of arc displayed by the sextant, the
    wrong degree is marked (blame the scribe).
    
    This is also another example of why it is important to THINK about
    what those data points mean, rather than just feeding them into some
    blind number-crunching mathematical process.  Once plotted its obvious
    that the point is an outlier, an apparent gross error.  But before
    discarding the point its worthwhile checking that it is not just a
    whole minute of time out, or a whole degree.
    
    I guess its still a gross error, but once the problem is identified
    that data point can usefully rejoin its brothers.  From being a piece
    of data that could drag the average away from the straight and narrow
    (of conformity to the slope) it can be converted into orthodoxy.  The
    prodigal son, back from the wilderness.
    
    Now THAT'S magic for you.
    
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