By Kardi Teknomo, PhD.
Share this: Google+
At this point, I hope you are already familiar with simple linear regression. In many cases, however, you may face problem that your data is not linear but have tendency to make a curve. Nonlinear regression is a functional relationship that does not produce a straightline in the scattered plot. Some nonlinear curves can be transformed into linear regression. In this simple tutorial, you will learn how to transform some nonlinear regression into linear regression.
Here is step by step on when and how to use curvilinear or nonlinear regression:
 Firstly, you plot your data into scattered plot (XY type graph)
 Examine if there is any non linear relationship on the scattered plot
 Guess the model that relate X and Y and transform the model into linear model
 Compute the parameters and statistical fitness of the model
 Transform back the parameter to non linear model.
Topics
Scattered Plot
NonLinear Regression
NonLinear Transformation
Power Curve
Logarithmic Curve
Square Root Curve
Rate and send your feedback on this tutorial
<  Next >
See Also: Regression tutorial, Power Rules, Logarithm Rules, Kernel Regression
This tutorial is copyrighted.
Preferable reference for this tutorial is
Teknomo, Kardi. NonLinear Transformation for Regression. http:\\people.revoledu.com\kardi\
tutorial\Regression\NonLinear\
