List of Figures

Chapter 61: The REG Procedure

Figure 61.1: ANOVA Table

Figure 61.2: Parameter Estimates

Figure 61.3: Plot of Residual vs. Predicted Values

Figure 61.43: Regression Using the INFLUENCE Option

Figure 61.57: Regression Using DW Option

Figure 61.4: ANOVA Table and Parameter Estimates

Figure 61.5: Confidence Limits

Figure 61.6: Residual Analysis

Figure 61.7: Plot of Residual vs. Predicted Values

Figure 61.8: ANOVA Table and Parameter Estimates

Figure 61.9: Confidence Limits and Residual Analysis

Figure 61.10: Plot of Residual vs. Predicted Values

Figure 61.11: Plot of Population vs Year with Confidence Limits

Figure 61.12: TYPE=CORR Data Set Created by PROC CORR

Figure 61.13: Regression on TYPE=CORR Data Set

Figure 61.14: TYPE=SSCP Data Set Created by PROC CORR

Figure 61.15: Regression on TYPE=SSCP Data Set

Figure 61.16: Regression Output for Model M1

Figure 61.17: Regression Output for Model M2

Figure 61.18: OUTEST= Data Set

Figure 61.19: The OUTEST= Data Set When TABLEOUT is Specified

Figure 61.20: PROC REG Output for Physical Fitness Data: Best Models

Figure 61.21: PROC PRINT Output for Physical Fitness Data: OUTEST= Data Set

Figure 61.22: SSCP Data Set Created with OUTSSCP= Option: REG Procedure

Figure 61.23: Interactive Analysis: Full Model

Figure 61.24: Interactive Analysis: Reduced Model

Figure 61.25: Interactive Analysis: Scatter Plot

Figure 61.26: Interactive Analysis: Scatter Plot for Refitted Model

Figure 61.28: SS1, SS2, STB, CLB, COVB, and CORRB Options: Parameter Estimates

Figure 61.27: ANOVA Table

Figure 61.29: SS1, SS2, STB, CLB, COVB, and CORRB Options: Covariances and Correlations

Figure 61.30: Regression Using the R, CLI, and CLM Options

Figure 61.31: Regression Using the R, CLI, and CLM Options

Figure 61.32: Scatter Plot Showing Data, Predicted Values, and Confidence Limits

Figure 61.33: Collecting Residual Plots for the Full Model

Figure 61.34: Overlaid Residual Plots for Full and Reduced Models

Figure 61.35: Residual Plot for Reduced Model Only

Figure 61.36: Side-by-Side Residual Plots for the Full and Reduced Models

Figure 61.37: Plotting Studentized Residuals Against Predicted Values

Figure 61.38: Painting One Observation

Figure 61.39: Painting Several Observations

Figure 61.40: Painting Observations on More than One Plot

Figure 61.41: Model That Is Not Full Rank: REG Procedure

Figure 61.42: Regression Using the TOL, VIF, and COLLIN Options

Figure 61.44: Partial Regression Leverage Plots (Experimental)

Figure 61.45: Partial Regression Leverage Plots

Figure 61.46: Full Model for CLASS Data, Residuals Shown

Figure 61.47: Model with Reweighted Observations

Figure 61.48: Observations Excluded from Analysis, Model Refitted and Observations Reweighted

Figure 61.49: Restoring Weights of All Observations

Figure 61.50: Example of UNDO in REWEIGHT Statement

Figure 61.51: REWEIGHT Statement with RESET option

Figure 61.52: Multivariate Analysis of Variance: REG Procedure

Figure 61.53: Multivariate Analysis of Variance: REG Procedure

Figure 61.54: Multivariate Analysis of Variance: First Test

Figure 61.55: Multivariate Analysis of Variance: Second Test

Figure 61.56: Multivariate Analysis of Variance: Second Test

Chapter 62: The ROBUSTREG Procedure

Figure 62.1: Model Fitting Information and Summary Statistics

Figure 62.2: Model Parameter Estimates

Figure 62.3: Diagnostics

Figure 62.4: RDPLOT for Stackloss Data (Experimental)

Figure 62.5: DDPLOT for Stackloss Data (Experimental)

Figure 62.6: Histogram (Experimental)

Figure 62.7: Q-Q PLOT (Experimental)

Figure 62.8: Goodness-of-Fit

Figure 62.9: Test of Significance

Figure 62.10: Model Parameter Estimates

Figure 62.11: Diagnostics

Figure 62.12: Model Fitting Information and Summary Statistics

Figure 62.13: LTS Profile

Figure 62.14: LTS Parameter Estimates

Figure 62.15: Diagnostics

Figure 62.16: Final Weighted LS Estimates

Chapter 63: The RSREG Procedure

Figure 63.1: Summary Statistics and Analysis of Variance

Figure 63.2: Parameter Estimates and Hypothesis Tests

Figure 63.3: Canonical Analysis and Eigenvectors

Figure 63.4: The Response Surface Obtained from the PREDICT Option

Figure 63.5: Top Five Predictions

Chapter 64: The SCORE Procedure

Figure 64.1: Views of the Scores, Schools, and New Data Sets

Figure 64.2: Bar Chart of School Type

Chapter 65: The SIM2D Procedure

Figure 65.1: Locations of Measured Samples

Figure 65.2: Surface Plot of Coal Seam Thickness

Figure 65.3: Simulation Statistics at Grid Point (XC=0, YC=0)

Figure 65.4: Simulation Statistics at Grid Point (XC=75, YC=75)

Chapter 66: The STDIZE Procedure

Figure 66.1: Schematic Plots from PROC UNIVARIATE

Figure 66.2: Table for Extreme Observations When Type=urban

Figure 66.3: Location and Scale Measures Table When METHOD=STD

Figure 66.4: Location and Scale Measures Table When METHOD=MAD

Figure 66.5: Location and Scale Measures Table When METHOD=IQR

Figure 66.6: Location and Scale Measures Table When METHOD=ABW

Figure 66.7: After Deleting the Outlier, Location and Scale Measures Table When METHOD=STD

Chapter 67: The STEPDISC Procedure

Figure 67.1: Summary Information

Figure 67.2: Step 1: Variable HEIGHT Selected for Entry

Figure 67.3: Step 2: No Variable is Removed; Variable Length1 Added

Figure 67.4: Step 7: No Variables Entered or Removed

Figure 67.5: Step Summary

Chapter 68: The SURVEYFREQ Procedure

Figure 68.1: SIS_Survey Data Summary

Figure 68.2: One-Way Table of Response

Figure 68.3: Confidence Limits for Response Percentages

Figure 68.4: Chi-Square Goodness-of-Fit Test for Response

Figure 68.5: Two-Way Table of SchoolType by Response

Figure 68.6: Two-Way Table with Row Percentages

Figure 68.7: Chi-Square Test of No Association

Chapter 69: The SURVEYLOGISTIC Procedure

Figure 69.1: Stratified PPS Sample (First 10 Observations)

Figure 69.2: Stratified PPS Sample, Model Information

Figure 69.3: Stratified PPS Sample, Number of Observations

Figure 69.4: Stratified PPS Sample, Response Profile

Figure 69.5: Stratified PPS Sample, Stratification Summary

Figure 69.6: Stratified PPS Sample, Testing the Proportional Odds Assumption

Figure 69.7: Stratified PPS Sample, Model Fitting Information

Figure 69.8: Stratified PPS Sample, Testing Global Null Hypothesis

Figure 69.9: Stratified PPS Sample, Parameter Estimates

Figure 69.10: Stratified PPS Sample, Odds Ratios

Chapter 70: The SURVEYMEANS Procedure

Figure 70.1: Analysis of Ice Cream Spending, Simple Random Sample Design

Figure 70.2: Data Summary

Figure 70.3: Stratum Information

Figure 70.4: Analysis of Ice Cream Spending, Stratified SRS Design

Figure 70.5: The Data Set MyStat

Figure 70.6: Rectangular Structure in the Output Data Set

Figure 70.7: Stacking Structure in the Output Data Set

Figure 70.8: Degrees of Freedoms in Domain Analysis

Chapter 71: The SURVEYREG Procedure

Figure 71.1: Summary of Data

Figure 71.2: Testing Effects in the Regression

Figure 71.3: Regression Coefficients

Figure 71.4: Summary of the Regression

Figure 71.5: Stratification and Classification Information

Figure 71.6: Testing Effects

Figure 71.7: Regression Coefficients

Figure 71.8: The Data Set MyParmEst

Chapter 72: The SURVEYSELECT Procedure

Figure 72.1: Customers Data Set (First 10 Observations)

Figure 72.2: Sample Selection Summary

Figure 72.3: Customer Sample (First 20 Observations)

Figure 72.4: Stratification of Customers by State and Type

Figure 72.5: Sample Selection Summary

Figure 72.6: Customer Sample (First 30 Observations)

Figure 72.7: Sample Selection Summary

Chapter 74: The TPSPLINE Procedure

Figure 74.1: Plot of Data Set MEASURE

Figure 74.3: Data Set ESTIMATE

Figure 74.4: Plot of TPSPLINE Fit of Data Set Measure

Figure 74.5: Plot of TPSPLINE fit

Figure 74.5: Plot of TPSPLINE fit

Figure 74.2: Output from PROC TPSPLINE