Adding standard deviation to Y in Fit Model platform

[#1]

Hi,

I want to include the standard error (1sigma) to Y measurements in Fit Model platform. Is this possible? I was thinking of including them in the Weight column, but I am not sure how to transform standard deviations to weights. I know in Mathematica, when using NonlinearModelFit, the standard deviation can be added as Weights = 1/deltaY^2, where deltaY is the measurement error. Is this similar in JMP?

Thanks

[#2]

So by saying "want to include the standard error to Y measurements," you mean you want to weight the observations with the reciprocal SD squared? I would create a new data column to record the associated measurement error and then use another data column with a formula to compute the weight. You can verify the correct SE this way.

[#3]

Indeed, I was just wondering if the reciprocal SD squared is a good measure for Weight. Thanks for your answer.