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0 What Is a Statistical Model? 0.1 Fundamental Terminology0.2 Four-Step Process 0.3 Chapter Summary 0.4 Exercises
Unit A: Linear Regression
1 Simple Linear Regression 1.1 The Simple Linear Regression Model 1.2 Conditions for a Simple Linear Model 1.3 Assessing Conditions 1.4 Transformations1.5 Outliers & Influential Points 1.6 Chapter Summary 1.7 Exercises
2 Inference for Simple Linear Regression 2.1 Inference for Regression Slope 2.2 Partitioning Variability - ANOVA2.3 Regression and Correlation2.4 Intervals for Predictions 2.5 Chapter Summary 2.6 Exercises
3 Multiple Regression 3.1 Multiple Linear Regression Model 3.2 Assessing a Multiple Regression Model 3.3 Comparing Two Regression Lines3.4 New Predictors from Old 3.5 Correlated Predictors 3.6 Testing Subsets of Predictors3.7 Case Study: Predicting in Retail Clothing3.8 Chapter Summary3.9 Exercises
4 Additional Topics in Regression 4.1 Topic: Added Variable Plots4.2 Topic: Techniques for Choosing Predictors 4.3 Topic: Identifying Unusual Points in Regression 4.4 Topic: Coding Categorical Predictors 4.5 Topic: Randomization Test for a Relationship 4.6 Topic: Bootstrap for Regression 4.7 Exercises
Unit B: Analysis of Variance
5 One-way ANOVA 5.1 The One-way Model: Comparing Groups 5.2 Assessing and Using the Model 5.3 Scope of Inference 5.4 Fisher’s Least Significant Difference 5.5 Chapter Summary 5.6 Exercises
6 Multifactor ANOVA 6.1 The Two-way Additive Model (Main Effects Model) 6.2 Interaction in the Two-way Model 6.3 The Two-way Non-additive Model (Two-Way ANOVA with Interaction)6.4 Case Study6.5 Chapter Summary 6.6 Exercises
7 Additional Topics in Analysis of Variance 7.1 Topic: Levene’s Test for Homogeneity of Variances 7.2 Topic: Multiple Tests 7.3 Topic: Comparisons and Contrasts 7.4 Topic: Nonparametric Statistics 7.5 Topic: ANOVA and Regression with Indicators 7.6 Topic: Analysis of Covariance 7.7 Exercises
8 Overview of Experimental Design8.1 Comparisons and Randomization 8.2 Randomization F Test 8.3 Design Strategy: Blocking 8.4 Design Strategy: Factorial Crossing8.5 Chapter Summary 8.6 Exercises
Unit C: Logistic Regression
9 Logistic Regression 9.1 Choosing a Logistic Regression Model 9.2 Logistic regression and odds ratios9.3 Assessing the logistic regression model 9.4 Formal inference: tests and intervals 9.5 Summary 9.6 Exercises
10 Multiple Logistic Regression 10.1 Overview 10.2 Choosing, fitting, and interpreting models10.3 Checking conditions10.4 Formal inference: tests and intervals10.5 Case Study: Bird Nests10.6 Summary 10.7 Exercises
11 Additional Topics in Logistic Regression 11.1 Topic: Fitting the logistic regression model 11.2 Topic: Assessing Logistic Regression Models11.3 Randomization Tests 11.4 Analyzing Two-way Tables with Logistic Regression 11.5 Exercises
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