Regression Diagnostics

Charles DiMaggio
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Charles DiMaggio: Columbia University, Departments of Anesthesiology and Epidemiology College of Physicians and Surgeons Mailman School of Public Health

Chapter Chapter 14 in SAS for Epidemiologists, 2013, pp 213-229 from Springer

Abstract: Abstract In this chapter, we consider how we may determine if there are problems with our underlying assumptions for the use of linear regression. We learn that residuals are the key to regression diagnostics, that SAS provides many tools, from plots to statistics, that help us examine whether our data meet assumptions such as normal distribution, linear relationships, and homoscedasticity, and that if there are outliers influencing summary statistics.

Keywords: Variance Inflation Factor; Residual Plot; Model Selection Procedure; Influential Observation; Regression Diagnostics (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-4854-9_14

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DOI: 10.1007/978-1-4614-4854-9_14

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