Residuals from regression on original data 1
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1 Residuals from regression on original data 1 Obs a b n i y
2 Residuals from regression on original data 2 Obs a b n i y
3 Residuals from regression on original data 3 The GLM Procedure Class Class Level Information Levels Values a b Number of Observations Read 18 Number of Observations Used 18
4 Residuals from regression on original data 4 The GLM Procedure Dependent Variable: y Source DF Sum of Squares Mean Square F Value Pr > F Model < Corrected Total R-Square Coeff Var Root MSE y Mean Source DF Type I SS Mean Square F Value Pr > F a <.0001 b <.0001 a*b Source DF Type III SS Mean Square F Value Pr > F a <.0001 b <.0001 a*b
5 Residuals from regression on original data 5 The GLM Procedure Class Class Level Information Levels Values a b Number of Observations Read 18 Number of Observations Used 18
6 Residuals from regression on original data 6 The GLM Procedure Dependent Variable: y Source DF Sum of Squares Mean Square F Value Pr > F Model Corrected Total R-Square Coeff Var Root MSE y Mean Source DF Type I SS Mean Square F Value Pr > F a b a*b Source DF Type III SS Mean Square F Value Pr > F a b a*b
7 Residuals from regression on original data 7 The ROBUSTREG Procedure Model Information Data Set WORK.TABLE922 Dependent Variable y Number of Independent Variables 2 Number of Continuous Independent Variables 0 Number of Class Independent Variables 2 Number of Observations 18 Method M Estimation Number of Observations Read 18 Number of Observations Used 18 Name Class Level Information Levels Values a b Summary Statistics Variable Q1 Median Q3 Mean Deviation MAD y Parameter Estimates Intercept <.0001 a <.0001 a b <.0001 b <.0001 b a*b a*b a*b a*b a*b
8 Residuals from regression on original data 8 The ROBUSTREG Procedure Parameter Estimates a*b Scale Diagnostics Summary Observation Type Proportion Cutoff Outlier Goodness-of-Fit Statistic Value R-Square AICR BICR Deviance Reduced Model Parameter Estimates for MAINA Intercept <.0001 a a b <.0001 b <.0001 b a*b <.0001 a*b <.0001 a*b a*b a*b a*b Scale
9 Residuals from regression on original data 9 The ROBUSTREG Procedure Robust Linear s MAINA Statistic Lambda DF Rho <.0001 Rn <.0001 Reduced Model Parameter Estimates for INTER Intercept <.0001 a <.0001 a b <.0001 b <.0001 b a*b a*b a*b a*b a*b a*b Scale Robust Linear s INTER Statistic Lambda DF Rho Rn
10 Residuals from regression on original data 10 The ROBUSTREG Procedure Model Information Data Set WORK.BAD922 Dependent Variable y Number of Independent Variables 2 Number of Continuous Independent Variables 0 Number of Class Independent Variables 2 Number of Observations 18 Method M Estimation Number of Observations Read 18 Number of Observations Used 18 Name Class Level Information Levels Values a b Summary Statistics Variable Q1 Median Q3 Mean Deviation MAD y Parameter Estimates Intercept <.0001 a <.0001 a b <.0001 b <.0001 b a*b <.0001 a*b <.0001 a*b a*b a*b
11 Residuals from regression on original data 11 The ROBUSTREG Procedure Parameter Estimates a*b Scale Obs Diagnostics ized Robust Residual Outlier * * * Diagnostics Summary Observation Type Proportion Cutoff Outlier Goodness-of-Fit Statistic Value R-Square AICR BICR Deviance Reduced Model Parameter Estimates for MAINA Intercept <.0001 a a b <.0001 b <.0001 b a*b <.0001 a*b <.0001 a*b
12 Residuals from regression on original data 12 The ROBUSTREG Procedure Reduced Model Parameter Estimates for MAINA a*b a*b a*b Scale Robust Linear s MAINA Statistic Lambda DF Rho <.0001 Rn <.0001 Reduced Model Parameter Estimates for INTER Intercept <.0001 a <.0001 a b <.0001 b <.0001 b a*b a*b a*b a*b a*b a*b Scale
13 Residuals from regression on original data 13 The ROBUSTREG Procedure Robust Linear s INTER Statistic Lambda DF Rho <.0001 Rn <.0001
14 Residuals from regression on original data 14 y a b
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