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Regression Diagnostics

In: SAS for Epidemiologists

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  • Charles DiMaggio

    (Columbia University, Departments of Anesthesiology and Epidemiology College of Physicians and Surgeons Mailman School of Public Health)

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.

Suggested Citation

  • Charles DiMaggio, 2013. "Regression Diagnostics," Springer Books, in: SAS for Epidemiologists, edition 127, chapter 0, pages 213-229, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-4854-9_14
    DOI: 10.1007/978-1-4614-4854-9_14
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