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Asked by ahmed on 31 Jul 2013

Hi all,

there is something i don't understand in the curve fitting tool box, i have :

x= [1 2 3 4];

y= [1 2 3 4];

after using the curve fitting tool box this is the results comes out:

Linear model Poly1:

f(x) = p1*x + p2

where x is normalized by mean 3.5 and std 1.871 Coefficients (with 95% confidence bounds): p1 = 1.871 (1.871, 1.871) p2 = 3.5 (3.5, 3.5)

Goodness of fit:

SSE: 2.81e-30

R-square: 1

Adjusted R-square: 1 RMSE: 8.382e-16

the plotted graph on the right is correct but the resulted equation is not correct !!!!! ??

Thanks.

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Answer by dpb on 2 Aug 2013

Edited by dpb on 2 Aug 2013

Of course the equation is right--as the message says p1 and p2 are coefficients for the normalized x. Substitute in z=(x-3.5)/1.871 and solve for m and b in terms of z and you'll find that

m=p1/1.871 --> 1 b=p2+3.5 --> 0

In the tool it's the "Center and Scale" checkbox that controls it; at the command line the fit option 'Normalize', 'on|off'

## 1 Comment

Direct link to this comment:http://www.mathworks.com/matlabcentral/answers/83701#comment_162514

What do you do with the Curve Fitting Toolbox? If I type

I get a slope of 1 and an intercept that is zero (tiny number).