Linear and Polynomial Regression in MATLAB

This tutorial covers fitting lines and polynomials to data using MATLAB. It explains how to calculate the intercept, slope, and R squared value, and demonstrates fitting quadratic and cubic functions. The tutorial includes using MATLAB commands for data regression, plotting data points, and adjusting plot appearance. It concludes with calculating R squared for linear regression.

How can you visualize the fitted polynomial functions along with the original data points?

What steps are involved in calculating the residuals for a regression model?

Summarize the overall process of fitting a linear or polynomial regression in MATLAB.