Description: This simulation depicts the effect of transforming the data for regression analysis. Taking a simple model like y=ebx for given y vs x data, we show the effect of choosing the convenience of transforming the data.
Keywords: regression, nonlinear regression, transformation of data, untransformed data
Learning Objectives: After successful completion of running the simulation with proper questions asked by the instructor, the student would be able to 1) note that transformation of data can give significantly different results for the regression constant 2) how outliers can affect the transformed and untransformed regression models
Full Resources: The full resources for the topic of the nonlinear regression models are given here which include textbook content, a PowerPoint presentation, a multiple-choice test, audiovisual lectures, and application examples.
Software Requirements: Latest versions of Safari, Microsoft Edge, Firefox, Google Chrome.
Credits: Design Team: Autar Kaw and Mayank Pandey. Software development: Mayank Pandey and Autar Kaw.
We acknowledge the immense help of the Phet Google group, third party libraries: almond-0.2.9.js, easing-equations-r12,FileSaver-b8054a2.js, fontawesome-webfont-3.0.2.svg, jama-1.0.2, jquery-2.1.0.js, lodash-2.4.1.js, pegjs-0.7.0.js, seedrandom-2.4.2.js, text-2.0.12.js, Tween-r12.js
Acknowledgments: This material is based upon work supported partially by the National Science Foundation under Grant Number 2013271. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
All Simulations: Here is the link for all the simulations developed.