# 3: One-Factor Regression

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The simplest linear regression model finds the relationship between one input variable, which is called the predictor variable, and the output, which is called the system’s response. This type of model is known as a one-factor linear regression. To demonstrate the regression-modeling process, we will begin developing a one-factor model for the SPEC Integer 2000 (Int2000) benchmark results reported in the CPU DB data set. We will expand this model to include multiple input variables in this Chapter.