The briefing presented in this Note has two goals: to review the logic behind statistical reasoning, with particular emphasis on regression techniques; and to discuss, through a series of examples, how to interpret output from regression programs. The material is organized into three sections. The first discusses model building. The second describes how regression methods can be used to fit equations to data. The third describes how to make statistical inferences about the parameters that describe regression line or surface, and discusses potential pitfalls in making such inferences.
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