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Regression Diagnostics

  • Charles DiMaggio
Chapter

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Charles DiMaggio
    • 1
  1. 1.Departments of Anesthesiology and Epidemiology College of Physicians and Surgeons Mailman School of Public HealthColumbia UniversityNew YorkUSA

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