The FIT function in the Curve Fitting Toolbox does not currently return the standard error or variance information on the estimated coefficients.
You can compute the standard errors from the confidence interval in the following manner.
Let "fitresult" be the result of calling "fit", and "df" be the degrees of freedom:
>> alpha = 0.95
>> ci = confint(fitresult, alpha)
>> t = tinv((1+alpha)/2, df);
>> se = (ci(2,:)-ci(1,:)) ./ (2*t) % Standard Error
Alternatively, models fitted using the Statistics Toolbox methods will have their coefficient-covariance matrices calculated and stored automatically as a model property. For example, you can access the coefficient-covariance matrix of a model "mdl" generated as output of the command "fitlm" by the command "mdl.Coefficient." See the following documentation link for more information:
You can also refer to the following discussion on MATLAB Answers:
