Multiple Linear Regression in MATLAB: A Comprehensive Guide

Multiple linear regression is a powerful statistical technique used to model the relationship between multiple independent variables and a dependent variable. MATLAB provides robust tools and functions to perform multiple linear regression analysis efficiently. This tutorial will guide you through the process of implementing multiple linear regression using MATLAB, including loading and preprocessing data, building the regression model, interpreting results, and making predictions.

Prerequisites

To follow along with this tutorial, you should have a basic understanding of MATLAB programming and familiarity with linear regression concepts. Interested readers can refer to the tutorials on MATLAB mentioned at the end of this tutorial to understand the basics of MATLAB programming language.

Dataset

MATLAB provides several built-in datasets that you can use for multiple linear regression analysis. One such dataset is the “carsmall” dataset, which contains information about various car models.