Least Squares Fit of a Polynomial - Linear Algebra

Learn how to determine the coefficients of a polynomial that best fits a given set of data points using the least squares solution method. This 10-minute video tutorial demonstrates the process of finding the best-fitting quadratic for four data points. Explore the system of equations, understand the y=Mv relationship, derive the normal equation, and see the practical application in fitting a quadratic function. Follow along as the instructor breaks down each step, from setting up the problem to interpreting the final results. Gain valuable insights into this important linear algebra technique used in data analysis and curve fitting.

Intro
System of Equations
y=Mv
Normal Equation
Fitting a Quadratic'
The Fit
Conclusion