Linear Prediction

• Using a trained Linear Regression model

• With given Model Parameter

  

• is the prediction

• is the feature vector

• has to have one more item than since for a linear model you also need a feature independent summand

• Otherwise all resulting hyperplanes would have to go throug the origin

• is called the bias

Predicting multiple samples #