Building regression models: an introduction with a Unix (TM) case study

Abstract

Linear least-squares regression (hereafter, just regression) is widely used to quantify relationships between measurements variables and to assess trends in resource usage. This paper provides an introduction to regression modeling, with an emphasis on the judgments required in model construction. The paper includes a case study of developing a regression model for CPU consumption on a UnixTM file server.