Hi, I fear I may be missing something when using the curve fitting toolbox.
My data consists of the x,y coordinates of the zero contour of a surface. I need to find the mathematical expression of the curve.
Thus, I have interactively used the curve fitting toolbox and have apparently fitted a 6th order polynomial to my data – that passes neatly through all points:
Linear model Poly6: f(x) = p1*x^6 + p2*x^5 + p3*x^4 + p4*x^3 + p5*x^2 + p6*x + p7 where x is normalized by mean 2932 and std 1198Coefficients (with 95% confidence bounds):
p1 = 0.0003037 (0.000286, 0.0003214) p2 = -0.0007371 (-0.0007531, -0.0007211) p3 = 0.0003613 (0.0002911, 0.0004315) p4 = -0.00124 (-0.001291, -0.00119) p5 = 0.006244 (0.00617, 0.006318) p6 = -0.02178 (-0.02181, -0.02174) p7 = 0.2955 (0.2954, 0.2955)Goodness of fit: SSE: 1.534e-06 R-square: 1 Adjusted R-square: 1
However, when I try and plot the expression of the curve outside of the interactive toolbox – over exactly the same range of x values, it couldn't be further out: the values on the y-axis are far far too high and the whole curve has been reflected in the y axis…
Can anybody please advise? Thank you
(Oh, I am using Matlab 2015b)
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