We often think of a relationship between two variables as a straight line. That is, if you increase the predictor by 1 unit, the response always increases by X units. However, not all data have a linear relationship, and your model must fit the curves present in the data.
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The curve fitting of nonlinear relationship a–d The curve fitting of
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Problem 1: Linear and nonlinear regression models a)
Help Online - Origin Help - Theory of Nonlinear Curve Fitting
How to Choose Between Linear and Nonlinear Regression - Statistics
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