Applied Multiple Regression/correlation Analysis for Aviation Research

Applied Multiple Regression/Correlation Analysis for Aviation Research describes and illustrates multiple regression/correlation (MRC) analysis in an aviation context and is the ideal textbook for research-oriented graduate aviation programs that require knowledge of advanced statistical strategies for analyzing research data.

List of contents

Part A Fundamental Concepts of Correlation and Regression 1. Bivariate Correlation 2. Bivariate Linear Regression Part B Establishing the Foundation of MRC 3. MRC with Two Predictors 4. MRC with More Than Two Predictors 5. Preliminary Data Screening: Regression Assumptions and Diagnostics Part C Data Analytic Strategies for MRC 6. Multiple Regression Strategies for Variable Selection 7. Analyzing Sets of Independent Variables 8. Coding Strategies for Nominal IVs Part D Additional Applications of MRC 9. Combining Nominal and Continuous IVs, ANCOVA, and Interactions 10. Other Regression Models: Mediation and Binary Logistic Regression Appendixes: A. Key Concepts in Research and Statistics B. Statistics Tables C. Answers to Part A Review Exercises

About the author

Michael A. Gallo, Ph.D., is a Professor Emeritus in the College of Aeronautics at Florida Institute of Technology, USA.
Ulreen O. McKinney, Ph.D. is an Associate Professor in the College of Aeronautics at Florida Institute of Technology, USA.

Product details

• Authors: Michael A. Mckinney Gallo, Gallo Michael A., Ulreen O. McKinney
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 13.08.2025
• EAN: 9781032829128
• ISBN: 978-1-0-3282912-8
• No. of pages: 410
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > General, dictionaries; TRANSPORTATION / Aviation / General, TECHNOLOGY & ENGINEERING / Aeronautics & Astronautics, MATHEMATICS / Probability & Statistics / Regression Analysis, Economic statistics, Probability & statistics, Aerospace & aviation technology, Probability and statistics, Aerospace and aviation technology, Econometrics and economic statistics, MRC Analysis