# Linear Regression

Assume that the response is a linear function of the inputs.

$y(x) = W^TX + \epsilon = \sum_{j=1}^{D}{w_jx_j} + \epsilon$

$\epsilon$ is the residual error between our linear predictions and the actual answer.

$W$ is the model's weight vector.