|
From: SB <ste...@gm...> - 2006-09-18 17:52:53
|
Hello again,
Sorry, I have to ask the same question again.
After half a day on the web I learned a little about statistics, but I
couldn't find out how to interpret the correlation matrix. Also I am
still without ideas how to transform it to receive R².
Is there an easy explanation available for someone without prior
statistical knoledge how to do this?
And one more question:
My correlation Matrix looks like this:
a b
a 1.000
b -0.684 1.000
I did several fits to different data, and almost all fits to a line
(i.e. g(x) = a* x + b ; fit g(x) ... via a,b).
For some reason the bottom left value (in this case -0.684) seems to
depend only on the number of points that are fitted.
Confused,
Stephan
end part of one fitting log (g(x) fitted to 6 data points):
Iteration 5
WSSR : 16.6406 delta(WSSR)/WSSR : -5.61239e-12
delta(WSSR) : -9.33937e-11 limit for stopping : 1e-05
lambda : 0.000319372
resultant parameter values
a = 0.451348
b = 1.72651
After 5 iterations the fit converged.
final sum of squares of residuals : 16.6406
rel. change during last iteration : -5.61239e-12
degrees of freedom (ndf) : 4
rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.03965
variance of residuals (reduced chisquare) = WSSR/ndf : 4.16016
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.451348 +/- 0.02527 (5.599%)
b = 1.72651 +/- 1.141 (66.09%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.684 1.000
----------------------------------
G N U P L O T
Version 4.0 patchlevel 0
last modified Thu Apr 15 14:44:22 CEST 2004
System: Linux 2.6.12-10-386
Copyright (C) 1986 - 1993, 1998, 2004
Thomas Williams, Colin Kelley and many others
|