MATH3714, Section 2.2: Least Squares Estimates

This video is part of the MATH3714 Linear Regression and Robustness module, as taught at the University of Leeds in 2021. * multiple linear regression allows for more than one input but still has only one output * the least squared estimate for the coefficients is found by minimising the residual sum of squares * the estimate can be computed as the solution to the normal equations notes: https://seehuhn.github.io/MATH3714/S02-multiple.html#the-normal-equations