Description: This simulation depicts linear regression.
Keywords: regression, linear regression, sum of square of residuals
Learning Objectives: After successful completion of running the simulation with proper questions asked by the instructor, the student would be able to 1) note geometrically what the sum of the squared residuals mean 2) see how close they come to guessing the linear regression curve.
Full Resources: The full resources for the topic of the linear 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. Software development: Mayank Pandey and Autar Kaw.
We acknowledge the immense help of the 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, Phet
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.