- Introduction
- Chapter 2: The Basics of Regression Models
- 2.8.1 || Toy Data
- 2.8.2 || Steam Output Data
- 2.8.3 || Computer Repair Data
- Chapter 2 || Section 8
- Introduction
- Chapter 3: Statistical Inference
- 3.6.1 || Steam Output Data
- 3.6.2 || Computer Repair Data
- 3.6.3 || Pulp Property Data
- Chapter 3 || Section 6
- Introduction
- Chapter 4: Regression Assumptions and Residual Diagnostics
- 4.7.1 || Steam Output Data
- 4.7.2 || 1993 Car Sale Data
- 4.7.3 || Black Cherry Tree Data
- Chapter 4 || Section 7
- Introduction
- Chapter 5: ANOVA for Simple Linear Regression
- Introduction
- Chapter 6: Multiple Linear Regression Models and Inference
- 6.7.1 || Thermal Energy Data
- 6.7.2 || Kola Project Data
- 6.7.3 || Tortoise Eggs Data
- Chapter 6 || Section 7
- Introduction
- Chapter 7: Multicollinearity
- Introduction
- Chapter 8: ANOVA for Multiple Linear Regression
- Introduction
- Chapter 9: Indicator Variables
- 9.6.1 || Auditory Discrimination Data
- 9.6.2 || Steam Output Data
- 9.6.3 || Tea Data
- Chapter 9 || Section 6
- Introduction
- Chapter 10: Influential Values, Outliers, and More Diagnostic Tests
- 10.5.1 || Punting Data
- 10.5.2 || Expenditures Data
- Chapter 10 || Section 5
- Introduction
- Chapter 11: Measurement Errors and Instrumental Variables Regression
- 11.6.1 || Blood Alcohol Concentration Data
- 11.6.2 || U.S. Economy Data
- 11.6.3 || Arsenate Assay Data
- Chapter 11 || Section 6
- Introduction
- Chapter 12: Weighted Least Squares and Robust Regression Procedures
- 12.6.1 || Computer-Assisted Learning Data
- 12.6.2 || Arsenate Assay Data
- 12.6.3 || Pulp Property Data
- Chapter 12 || Section 6
- Introduction
- Chapter 13: Correlated Errors and Autoregressive Structures
- Introduction
- Chapter 14: Crossvalidation and Model Selection Methods
- Introduction
- Chapter 15: Mixed Models and Some Regression Models for Designed Experiments
- 15.5.1 || Sleep Study Data
- 15.5.2 || Cracker Promotion Data
- 15.5.3 || Odor Data
- 15.5.4 || Yarn Fiber Data
- Chapter 15 || Section 5
- Introduction
- Chapter 16: Biased Regression, Regression Shrinkage, and Dimension Reduction
- 16.5.1 || Prostate Cancer Data
- 16.5.2 || Automobile Features Data
- Chapter 16 || Section 5
- Introduction
- Chapter 17: Piecewise, Nonparametric, and Local Regression Methods
- 17.5.1 || Gamma-Ray Burst Data
- 17.5.2 || Quasar Data
- 17.5.3 || LIDAR Data
- Chapter 17 || Section 5
- Introduction
- Chapter 18: Regression Models with Censored Data
- Introduction
- Chapter 19: Nonlinear Regression
- 19.4.1 || Puromycin Data
- 19.4.2 || Light Data
- 19.4.3 || James Bond Data
- Chapter 19 || Section 4
- Introduction
- Chapter 20: Regression Models with Discrete Responses
- Introduction
- Chapter 21: Generalized Linear Models
- Introduction
- Chapter 22: Multivariate Multiple Regression
- 22.5.1 || Amitriptyline Data
- 22.5.2 || Education Expenditure Data
- Chapter 22 || Section 5
- Introduction
- Chapter 23: Semiparametric Regression
- 23.7.1 || The 1907 Romanian Peasant Revolt Data
- 23.7.2 || Ragweed Data
- 23.7.3 || Boston Housing Data
- Chapter 23 || Section 7
- Introduction
- Chapter 24: Data Mining
- 24.5.1 || Motorcycle Accident Data
- 24.5.2 || Pima Indian Diabetes Data
- 24.5.3 || Boston Housing Data
- Chapter 24 || Section 5
- Introduction
- Chapter 25: Miscellaneous Topics
- 25.1.1 || Radon Data
- 25.2.1 || Gait Data
- 25.3.1 || Animal Weight Data
- 25.4.1 || Mediation Regression Example
- 25.5.1 || Tuberculosis Vaccine Literature Data
- 25.6.1 || Census of Agriculture Data
- Chapter 25 || Section 1-6
Regression Results
Data Plots
R Code
Regression Results
Data Plots
R Code
Regression Results
Data Plots
R Code
Regression Results
Data Plots
R Code
Regression Results
Data Plots
R Code
- 25.7.1 || Mammal Sleep Data
- 25.8.1 || Animal Weight Data
- 25.9.1 || Belgian Food Expenditure Data
- 25.10.1 || Animal Weight Data
- 25.11.1 || Annual Maximum Sea Levels Data
- 25.12.1 || Boston Housing Data
- Chapter 25 || Section 7-12
Regression Results
R Code
Regression Results
R Code
Regression Results
Data Plots
R Code
Regression Results
R Code
Data Plots
R Code
Regression Results
Data Plots
R Code
- 25.13.1 || Wind Direction Data
- 25.14.1 || Belgium Telephone Data
- 25.15.1 || Ethanol Fuel Data
- 25.16.1 || Cardiovascular Data
- 25.17.1 || NASA Data
- Chapter 25 || Section 13-17