## Notes on Regression - Approximation of the Conditional Expectation Function

The final installment in my ‘Notes on Regression’ series! For a review on ways to derive the Ordinary Least Square formula as well as various algebraic and geometric interpretations, check out the previous 5 posts:
Part 1 - OLS by way of minimising the sum of square errors
Part 2 - Projection and Orthogonality
Part 3 - Method of Moments
Part 4 - Maximum Likelihood
Part 5 - Singular Vector Decomposition
[Read More]