Statistics with R

  1. Regression Diagnostics
    1. Regression Assumptions
      1. Linearity
        1. Independence
          1. Homoscedasticity
            1. Normality of Residuals
            2. Residual Analysis
              1. Types of Residuals
                1. Residual Plots
                  1. Standardized Residuals
                    1. Studentized Residuals
                    2. Diagnostic Plots
                      1. Residuals vs Fitted
                        1. Normal Q-Q Plot
                          1. Scale-Location Plot
                            1. Residuals vs Leverage
                            2. Outliers and Influential Points
                              1. Outlier Detection
                                1. Leverage
                                  1. Cook's Distance
                                    1. DFBETAS
                                      1. Influence Measures
                                      2. Addressing Assumption Violations
                                        1. Transformations
                                          1. Robust Regression
                                            1. Alternative Models

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                                          21. Simple Linear Regression

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                                          23. Multiple Linear Regression