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Textbook in PDF format
Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts.
Dedications
Table of Contents
List of Figures
List of Tables
About the Authors
Preface
Some Foundation
General Principles of Effective Presentation
Best Practices for Graphs and Tables
Methods for Visualizing Distributions
Exploring and Describing Relationships
The Linear Model
The Linear Regression Model
Assessing the Impact and Importance of Multi-category Explanatory Variables
Identifying and Handling Problems in Linear Models
Modelling and Presentation of Curvilinear Effects
Interaction Effects in Linear Models
he Generalized Linear Model and Extensions
Generalized Linear Models
Categorical Dependent Variables
Conclusions and Recommendations
Appendix: Data and Computing
References
Index