Hi I need to find a function which best fits x and y data points as given below
xdata=[0.500000000000000,0.700000000000000,1];ydata=[7862.13480751439,5801.18185697929,4993.13280898239];
When I use Curve fitting toolbox, it returns a polynomial function with the goodness of fit as given below
Linear model Poly2: f(x) = p1*x^2 + p2*x + p3Coefficients: p1 = 1.522e+04 p2 = -2.857e+04 p3 = 1.834e+04Goodness of fit: SSE: 1.414e-22 R-square: 1 Adjusted R-square: NaN RMSE: NaN
ydata points appears to coincide the curve in the plot and also the sse and Rsquare are desirable but the rmse returned by the goodness of fit is NaN. Can this rmse be negelected? How is Adjusted R-square value calculated?
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