Again, the correlation matrix is not mine, this is a know math term for fitting, just do a search on the specific algorithm I noted I use for the nonlinear fitting and it will define the matrix exactly. It correlates the parameters to EACH OTHER. It isn't a correlation coefficient between the independent/dependent variables.
I realize that "correlation matrix" is a known math term (actually, it's generally considered more of a statistics term, in my experience), but it only has meaning in the sense of a particular data fitting.
Could you help me understand the data fitting you are doing?
Are you fitting multiple runs for a single blade in order to obtain Ci, a, and b values?
Are you fitting multiple runs for multiple blades in order to obtain information about how Ci, a, and b jvary with one another, depending on blade material and blade geometry?
Are you doing both of the above, and/or something else entirely?
Can you help me understand what data you are applying the known fitting routines to, and what model you're hoping to obtain by doing the fitting?
I really appreciate your patience with me, if I'm not picking things up as fast as you'd like.
Thanks,
Carl