Chapter 06.05 Adequacy of Regression Models Introduction

Adequacy of Regression Models (CHAPTER 06.05)

Adequacy of Regression Models – Introduction

Summary

Learn about the basics of the adequacy of regression models.

Learning Objective

Enumerate how one can determine if a linear regression model is adequate.

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Adequacy of Regression Models: Introduction [YOUTUBE 6:04]

Adequacy of Regression Models : Check One: Plot the Data [YOUTUBE 2:06]

Adequacy of Regression Models : Check Two: Standard Error of Estimate [YOUTUBE 10:00]

Adequacy of Regression Models : Check Three: Coefficient of Determination [YOUTUBE 17:21]

Adequacy of Regression Models : Check Four: Assumption of Random Errors [YOUTUBE 6:32]

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Based on work at Holistic Numerical Methods licensed under an Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Questions, suggestions or comments, contact kaw@eng.usf.edu This material is based upon work partially supported by the National Science Foundation under Grant# 0126793, 0341468, 0717624, 0836981, 0836916, 0836805, 1322586, 1609637, 2013271. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Other in-kind and financial funders include USF College of Engineering, USF STEER Program, Maple, MathCAD, MATLAB, USF, FAMU, ASU, AAMU, and MSOE.