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STAT2: Modelling with Regression and ANOVA by Ann R. Cannon & George W. Cobb & Bradley A. Hartlaub & Julie M. Legler & Robin H. Lock & Thomas L. Moore & Allan J. Rossman & Jeffrey A. Witmer is a nonfiction available to read on EtoBox.
What is STAT2: Modelling with Regression and ANOVA about?
About this Book 2 Cover Page 2 Title Page 3 Copyright Page 6 Brief Contents 8 Contents 10 To the Teacher 16 Media and Supplements 31 Acknowledgments 36 To the Student 53 Dedication 55 Chapter 0: What Is a Statistical Model? 56 0.1 Model Basics 61 0.2 A Four-Step Process 69 Chapter Summary 85 Exercises 87 Unit A: Linear Regression 97 Chapter 1: Simple Linear Regression 101 1.1 The Simple Linear Regression Model 104 1.2 Conditions for a Simple Linear Model 117 1.3 Assessing Conditions 124 1.4 Transformations/Reexpressions 137 1.5 Outliers and Influential Points 158 Chapter Summary 171 Exercises 175 Chapter 2: Inference for Simple Linear Regression 197 2.1 Inference for Regression Slope 202 2.2 Partitioning Variability—ANOVA 214 2.3 Regression and Correlation 221 2.4 Intervals for Predictions 231 2.5 Case Study: Butterfly Wings 238 Chapter Summary 246 Exercises 250 Chapter 3: Multiple Regression 277 3.1 Multiple Linear Regression Model 285 3.2 Assessing a Multiple Regression Model 292 3.3 Comparing Two Regression Lines 303 3.4 New Predictors from Old 323 3.5 Correlated Predictors 351 3.6 Testing Subsets of Predictors 366 3.7 Case Study: Predicting in Retail Clothing 379 Chapter Summar
Who reads STAT2: Modelling with Regression and ANOVA?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ann R. Cannon & George W. Cobb & Bradley A. Hartlaub & Julie M. Legler & Robin H. Lock & Thomas L. Moore & Allan J. Rossman & Jeffrey A. Witmer
- Publisher
- Springer Nature
- Published
- 2019
- Language
- EN
- ISBN
- 9781319209506
- Category
- nonfiction
- Subjects
- Mathematics, Mathematical Statistics, Stem
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