SigmaPlot Curve Fitting and Regression

SigmaPlot Curve Fitting and Regression

Curve fitting is finding a curve which matches a series of data points and possibly other constraints.

It is most often used by scientists and engineers to visualize and plot the curve that best describes the shape and behavior of their data.

Dynamic Curve Fitting

Nonlinear curve fitting is an iterative process that may converge to find a best possible solution. It begins with a guess at the parameters, checks to see how well the equation fits, the continues to make better guesses until the differences between the residual sum of squares no longer decreases significantly. For complicated curve fitting problems, use SigmaPlot’s Dynamic Fit Wizard to find the best solution.

Please note that the Dynamic Fit Wizard is especially useful for more difficult curve fitting problems with three or more parameters and possibly a large amount of variability in the data points. For linear regressions or less difficult problems, such as simple exponential two parameter fits, the Dynamic Fit Wizard is overkill and you should be using the Regression Wizard.

Use the Dynamic Fit Wizard to:

Links to more technical information and examples of how curve fitting is easy using SigmaPlot

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