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Statistical Programming with SAS/IML Software by Rick Wicklin

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Chapter 12. Regression Diagnostics

Contents

  • 12.1 Overview of Regression Diagnostics 279

  • 12.2 Fitting a Regression Model 280

  • 12.3 Identifying Influential Observations 284

  • 12.4 Identifying Outliers and High-Leverage Observations 286

  • 12.5 Examining the Distribution of Residuals 287

  • 12.6 Regression Diagnostics for Models with Classification Variables 289

  • 12.7 Comparing Two Regression Models 292

    • 12.7.1 Comparing Analyses in Different Workspaces 293

    • 12.7.2 Comparing Analyses in the Same Workspace 294

  • 12.8 Case Study: Comparing Least Squares and Robust Regression Models 296

  • 12.9 Logistic Regression Diagnostics 303

  • 12.10 Viewing ODS Statistical Graphics 307

  • 12.11 References 310

12.1 Overview of Regression Diagnostics

A regression diagnostic identifies observations that ...

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