Interpreting Q-Q plot



Hi,

I would use Q-Q plot as a GoF (Goodness of Fit) test (not for
normality test!), but instead of evaluating the goodness of fit
graphically I'd like to use some analytic formula

Actually I've drawn two a line:
1. one passing for the 25th and 75th quantile
2. one obtained through a simple linear regression between the X and Y
quantiles.
With line #1 the only information I have is slope and intercept (these
isn't very useful since there might be a goodness of fit even if the
line is y=ax+b, with a <> 1 and b <> 0 beacause of location or scale
deviations)
With line #2 I have a lot of additional information (such as
residuals, R^2, ...)

What kind of line is better (eventually tell me an even better kind of
line) for a GoF?
.... and what kind of statistically analysis can I do with that?
(e.g. with line #2 I thought to use the R^2 statistic to assess the
goodness of fit if R^2 ~ 1 or the lack of fit if R^2 ~ 0)

Any help is very appreciated!

Thank you very much!

Best regards,

-- Marco

.



Relevant Pages

  • Re: Interpreting Q-Q plot
    ... graphically I'd like to use some analytic formula ... isn't very useful since there might be a goodness of fit even if the ... The best GOF test for the kind of data you seem to have must surely be ...
    (sci.stat.edu)
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    ... Peter Perkins wrote: ... How to extract statistics after using "fit" function? ... I mean "GOODNESS"? ...
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    ... How to extract statistics after using "fit" function? ... I mean "GOODNESS"? ... If I saved M-file after CFTOOL had done, ...
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  • Re: Interpreting Q-Q plot
    ... one passing for the 25th and 75th quantile ... isn't very useful since there might be a goodness of fit even if the ... plot. ...
    (sci.stat.edu)
  • Re: Interpreting Q-Q plot
    ... but instead of evaluating the goodness of fit ... line) for a GoF? ... You could try a PP or SP plot instead: see Michael The stabilized probability plot. ...
    (sci.stat.edu)