Interpreting Q-Q plot
- From: shiazy@xxxxxxxxx
- Date: 23 May 2007 08:20:28 -0700
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
.
- Follow-Ups:
- Re: Interpreting Q-Q plot
- From: David Jones
- Re: Interpreting Q-Q plot
- Prev by Date: Re: Regression Texts without Standard Stat Packages
- Next by Date: Re: Interpreting Q-Q plot
- Previous by thread: Regression Texts without Standard Stat Packages
- Next by thread: Re: Interpreting Q-Q plot
- Index(es):
Relevant Pages
|