href="#ulink_1719156e-a35f-557a-8bd8-406091d0c0c1">D.3 IMPORTING DATA FROM AN EXCEL FILE D.4 OUTPUT COMMAND D.5 LOG FILE D.6 ADDING VARIABLES TO AN EXISTING SAS DATA SET
25 APPENDIX E: INTRODUCTION TO R TO PERFORM LINEAR REGRESSION ANALYSIS E.1 BASIC BACKGROUND ON R E.2 BASIC DATA ENTRY E.3 BRIEF COMMENTS ON OTHER FUNCTIONALITY IN R E.4 R COMMANDER
26 REFERENCES
27 INDEX
28 WILEY SERIES IN PROBABILITY AND STATISTICS
List of Illustrations
1 Chapter 1Figure 1.1 (a) Scatter diagram for delivery volume. (b) Straight-line relation...Figure 1.2 How observations are generated in linear regression.Figure 1.3 Linear regression approximation of a complex relationship.Figure 1.4 Piecewise linear approximation of a complex relationship.Figure 1.5 The danger of extrapolation in regression.Figure 1.6 Acetone–butyl alcohol distillation column.Figure 1.7 The designed experiment for the distillation column.Figure 1.8 Regression model-building process.
2 Chapter 2Figure 2.1 Scatter diagram of shear strength versus propellant age, Example 2....Figure 2.2 Situations where the hypothesis H0: β1 = 0 is not rejected.Figure 2.3 Situations where the hypothesis H0: β1 = 0 is rejected.Figure 2.4 The upper and lower 95% confidence limits for the propellant data....Figure 2.5 The 95% confidence and prediction intervals for the propellant data...Figure 2.6 Scatter diagram of satisfaction versus severity.Figure 2.7 JMP output for the simple linear regression model for the patient s...Figure 2.8 JMP output for the model relating team wins to team ERA for the 201...Figure 2.9 Two influential observations.Figure 2.10 A point remote in x space.Figure 2.11 An outlier.Figure 2.12 Scatter diagrams and regression lines for chemical process yield a...Figure 2.13 True relationship between yield and temperature.Figure 2.14 Scatter diagram of shelf-stocking data.Figure 2.15 The confidence and prediction bands for the shelf-stocing data.
3 Chapter 3Figure 3.1 (a) The regression plane for the model E(y) = 50 + 10x1 + 7x2. (b) ...Figure 3.2 (a) Three-dimensional plot of regression model E(y) = 50 + 10x1 + 7Figure 3.3 (a) Three-dimensional plot of the regression model
4 Chapter 4Figure 4.1 Example of a pure leverage point.Figure 4.2 Example of an influential point.Figure 4.3 Normal probability plots: (a) ideal; (b) light-tailed distribution;...Figure 4.4 Normal probability plot of the externally studentized residuals for...Figure 4.5 Patterns for residual plots: (a) satisfactory; (b) funnel; (c) doub...Figure 4.6 Plot of externally studentized residuals versus predicted for the d...Figure 4.7 Plot of externally studentized residuals versus the regressors for ...Figure 4.8 Prototype residual plots against time displaying autocorrelation in...Figure 4.9 Partial regression plots for the delivery time data.Figure 4.10 Plot of xi versus xj.Figure 4.11 Plot of regressor x1 (cases) versus regressor x2 (distance for the...Figure 4.12 Plot of externally studentized residuals by site (city) for the de...Figure 4.13 Externally studentized residual plots for the rocket propellant da...Figure 4.14 Residual plots for the rocket propellant data with observations 5 ...Figure 4.15 Data illustrating lack of fit of the straight-line model.Figure 4.16 JMP output for the simple linear regression model relating satisfa...
5 Chapter 5Figure 5.1 Scatter diagram of the energy demand (kW) versus energy usage (kWh)...Figure 5.2 Plot of R-student values ti versus fitted values