Is it possible to extract/calculate the p-values from the output of a curve fitting session? I used the cftool to fit a surface (matrix of measured data) to find a model of two variables (e.g. time and temperature), to explain the dependency of the data on them. I get a nice fit as I expected. Now I would like to estimate which coefficient has more influence on the measured data, namely if time or temperature. The result is the following:
Linear model Poly22: ditfit(x,y) = p00 + p10*x + p01*y + p20*x^2 + p11*x*y + p02*y^2 where x is normalized by mean 200 and std 122.2 and where y is normalized by mean 1213 and std 45.83 Coefficients (with 95% confidence bounds):
p00 = 2.725e+010 (2.466e+010, 2.983e+010) p10 = -1.337e+010 (-1.487e+010, -1.186e+010) p01 = -1.437e+010 (-1.588e+010, -1.287e+010) p20 = 3.03e+009 (1.341e+009, 4.72e+009) p11 = 5.453e+009 (4.083e+009, 6.822e+009) p02 = 5.91e+009 (4.22e+009, 7.599e+009)
How can I do that?
Thanks, Alberto S.
P.S. I have MATLAB Version 7.13.0.564 (R2011b)
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