Service Analytics

3.Regression

Bivariate Linear Regression - Uncentered II

The orthogonal vectors x and X divide the object space into two subspaces v1 (one dimensional) and v┴1.
subspaces.
 
The trick now is that we also decompose our estimator Yˆ into the sum of two best fitting vectors in the subspaces v1 (one dimensional) and v┴1.

Diskussion