# Applied Regression Analysis and Multivariable Methods

Cengage Learning, 2007 - Mathematics - 928 pages
This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The au

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applied linear regression

#### Review: Applied Regression Analysis And Other Multivariable Methods

User Review  - Joecolelife - Goodreads

The material covered includes: Univariable and multivariable linear regression, correlations including multiple partial, ANOVA, ANCOVA, Polynomial Regression including orthogonal polynomials, dummy ... Read full review

### Contents

 Concepts and Examples of Research 1 Classification of Variables and the Choice of Analysis 7 Basic Statistics A Review 14 Introduction to Regression Analysis 36 Straightline Regression Analysis 41 The Correlation Coefficient and Straightline Regression Analysis 91 The AnalysisofVariance Table 107 Multiple Regression Analysis General Considerations 114
 Oneway Analysis of Variance 420 Randomized Blocks Special Case of Twoway ANOVA 481 Twoway ANOVA with Equal Cell Numbers 513 Twoway ANOVA with Unequal Cell Numbers 558 The Method of Maximum Likelihood 586 Logistic Regression Analysis 604 Polytomous and Ordinal Logistic Regression 635 Poisson Regression Analysis 661

 Testing Hypotheses in Multiple Regression 139 Correlations Multiple Partial and Multiple Partial 163 Confounding and Interaction in Regression 189 Dummy Variables in Regression 217 Analysis of Covariance and Other Methods for Adjusting Continuous Data 264 Regression Diagnostics 287 Polynomial Regression 349 Selecting the Best Regression Equation 383
 Analysis of Correlated Data Part 1 The General Linear Mixed Model 693 Analysis of Correlated Data Part 2 Random Effects and Other Issues 735 Sample Size Planning for Linear and Logistic Regression and Analysis of Variance 788 AppendixTables 819 AppendixMatrices and Their Relationship to Regression Analysis 841 AppendixAnswers to Selected Problems 853 Index 893 Copyright