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How to find uncertainties in the coefficients of a linear regression using the function polyfit()
of Numpy
or the function curve_fit()
of Scipy
? I know how to find the coefficients, but I would like to know if it is also possible to obtain the uncertainties related to them. Has something to do with the covariance Matrix that these functions return?
Please edit the question to limit it to a specific problem with sufficient detail to identify an appropriate answer.
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