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Bug in MATLAB R2014b

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Nikhil
Nikhil 2016 年 2 月 3 日
閉鎖済み: MATLAB Answer Bot 2021 年 8 月 20 日
Hello all,
I am doing regression analysis using Curve Fitting tool available in MATLAB. Aim is to find a polynomial function between 2 design variables and 1 response i.e. z=f(x,y). I used robust regression methods from curve fitting tool box and fitlm(,,'RobustOpts','on') function. Both of them gives same estimates for polynomial coefficients but different R-square and adjusted R-square values. So can somebody please tell me which one of them is correct? Is the R-square (for robust regression) from curve fitting tool is more accurate or one from fitlm(,,'RobustOpts','on') function is more accurate? Please let me know, Thank you in advance,
Nik

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