Regression Basics

Interactive courseware module that addresses the fundamentals of regression analysis taught in STEM courses.
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Actualizado 20 Nov 2023

Regression Basics

View on File Exchange or Open in MATLAB Online

MATLAB Versions Tested

Curriculum Module

Created with R2020a. Compatible with R2020a and later releases.

Information

This curriculum module contains an interactive MATLAB® live script that illustrates some basic concepts of regression analysis.

Background

You can use this live script as a demonstration in lectures, a class activity, or an interactive assignment outside class. This module covers topics including solving for linear regression parameters, assessing and improving performance of regression models, and applying the gradient descent algorithm. It also includes an example of using a linear regression model to perform short-term forecasting.

The instructions inside the live script will guide you through the exercises and activities. Get started with the live script by running it one section at a time. To stop running the script or a section midway (for example, when an animation is in progress), use the image_0.png Stop button in the RUN section of the Live Editor tab in the MATLAB Toolstrip.

Contact Us

Solutions are available upon instructor request. Contact the MathWorks teaching resources team if you would like to request solutions, provide feedback, or if you have a question.

Prerequisites

This module assumes knowledge of plotting and working with linear data.

Getting Started

Accessing the Module

On MATLAB Online:

Use the image_1.png link to download the module. You will be prompted to log in or create a MathWorks account. The project will be loaded, and you will see an app with several navigation options to get you started.

On Desktop:

Download or clone this repository. Open MATLAB, navigate to the folder containing these scripts and double-click on RegressionBasics.prj. It will add the appropriate files to your MATLAB path and open an app that asks you where you would like to start.

Ensure you have all the required products (listed below) installed. If you need to include a product, add it using the Add-On Explorer. To install an add-on, go to the Home tab and select image_2.png Add-Ons > Get Add-Ons.

Products

MATLAB® is used throughout. Tools from Statistics and Machine Learning Toolbox™ are used frequently as well.

Scripts

If you are viewing this in a version of MATLAB prior to R2023b, you can view the learning outcomes for each script here

RegressionBasics.mlx

image_3.png In this script, students will...
- Use least squares to solve for linear regression paramaters
- Use a goodness-of-fit measure to assess model performance
- Apply a basic linear regression to model real-world electricity load data

Related Courseware Modules

Machine Learning for Regression

image_4.png Available on:image_5.pngimage_6.pngGitHub

Machine Learning Methods: Clustering

image_7.png Available on:image_8.pngimage_9.pngGitHub

Or feel free to explore our other modular courseware content.

Educator Resources

Contribute

Looking for more? Find an issue? Have a suggestion? Please contact the MathWorks teaching resources team. If you want to contribute directly to this project, you can find information about how to do so in the CONTRIBUTING.md page on GitHub.

© Copyright 2023 The MathWorks™, Inc

Citar como

Emma Smith Zbarsky (2024). Regression Basics (https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v2.1.0), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión desde R2020a
Compatibilidad con las plataformas
Windows macOS Linux
Comunidades de usuarios

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Versión Publicado Notas de la versión
2.1.0.0

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v2.1.0

2.0.3.0

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v2.0.3

2.0.2

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v2.0.2

2.0.1

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v2.0.1

2.0.0

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v2.0.0

1.2.0

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v1.2.0

1.1.1

See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Regression-Basics/releases/tag/v1.1.1

1.1.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.