Discusses the basic principles involved in the collection and analysis of data in a regression situation. Need to randomize the order in which one takes observations just in case there is some systematic factor of which one is unaware; Replication of experiments in order to assess the variability and consistency of measurements; Application of residuals to the stage following the fitting of a model. (