NonLinear Transformation for Regression

By Kardi Teknomo, PhD.

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. Non-linear regression is a functional relationship that does not produce a straight-line in the scattered plot. Some non-linear curves can be transformed into linear regression. In this simple tutorial, you will learn how to transform some non-linear regression into linear regression.

Here is step by step on when and how to use curvilinear or non-linear regression:

1. Firstly, you plot your data into scattered plot (XY type graph)
2. Examine if there is any non linear relationship on the scattered plot
3. Guess the model that relate X and Y and transform the model into linear model
4. Compute the parameters and statistical fitness of the model
5. Transform back the parameter to non linear model.

Topics

Scattered Plot
Non-Linear Regression
Non-Linear 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. Non-Linear Transformation for Regression. http:\\people.revoledu.com\kardi\ tutorial\Regression\NonLinear\