9 Regression as an Orthogonal Projection
9:17
10 Defining Eigenvalues and Eigenvectors
48:05
16. Projection Matrices and Least Squares
5:49
Geometric Interpretation of Ordinary Least Squares: An Introduction
29:01
Least Squares
15:30
Explaining linear regression
13:17
Geometric interpretation of linear regression
12:35
Why are OLS residuals orthogonal to the fitted values?
11:07