Textbook Examples Applied Linear Statistical Models, 4th Edition, by Neter, Kutner, Nachtsheim, and Wasserman.

This is one of the books available for loan from Academic Technology Services (see Statistics Books for Loan for other such books, and
details about borrowing). See Where to buy
books for tips on different places you can buy these books. You can
download the data files used in the textbook examples here.

	SAS	Chapter Title
Chapter 1	Chap 1	Linear Regression with One Independent Variable
Chapter 2	Chap 2	Inferences in Regression Analysis
Chapter 3	Chap 3	Diagnostic and Remedial Measures
Chapter 4	Chap 4	Simultaneous Inferences and Other Topics in Regression Analysis
Chapter 5		Matrix Approach to Simple Linear Regression Analysis
Chapter 6	Chap 6	Multiple Regression I
Chapter 7	Chap 7	Multiple Regression II
Chapter 8	Chap 8	Building the Regression Model I: Selection of Predictor Variables
Chapter 9	Chap 9	Building the Regression Model II: Diagnostics
Chapter 10	Chap 10	Building the Regression Model III: Remedial Measures and Validation
Chapter 11	Chap 11	Qualitative Predictor Variables
Chapter 12		Autocorrelation in Time Series Data
Chapter 13	Chap 13	Introduction to Nonlinear Regression
Chapter 14	Chap 14	Logistic Regression, Poisson Regression, and Generalized Linear Models
Chapter 15		Normal Correlation Models
Chapter 16	Chap 16	Analysis of Variance
Chapter 17	Chap 17	Analysis of Factor-Level Effects
Chapter 18	Chap 18	ANOVA Diagnostics and Remedial Measures
Chapter 19	Chap 19	Two-Factor Analysis of Variance-Equal Sample Sizes
Chapter 20	Chap 20	Analysis of Factor Effects in Two-Factor Studies-Equal Sample Sizes
Chapter 21	Chap 21	Two-Factor Studies-One Case per Treatment
Chapter 22	Chap 22	Two Factor Studies-Unequal Sample Sizes and Unequal Treatment Importance
Chapter 23	Chap 23	Multi-Factor Studies
Chapter 24	Chap 24	Random and Mixed-Effect Models
Chapter 25	Chap 25	Analysis of Covariance
Chapter 26		Design of Experiments, Randomization, and Sample Size Planning
Chapter 27	Chap 27	Randomized Block Designs
Chapter 28	Chap 28	Nested Designs, Subsampling, and Partially Nested Designs
Chapter 29	Chap 29	Repeated Measure Designs
Chapter 30		Latin Square and Related Designs
Chapter 31		Explanatory Experiments–Two-level Factorial and Fractional Factorial Designs
Chapter 32		Response Surface Methodology