Applied Multiple Regression/Correlation Analysis for Aviation Research [Hardcover]

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.

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

Applied Multiple Regression/Correlation Analysis for Aviation Research describes and illustrates multiple regression/correlation (MRC) analysis in an aviation context, including flight instruction, airport design, airline routes, and aviation human factors research. Structured in four parts, the book first reviews the major concepts of bivariate correlation and regression and then extends the bivariate case to two, four, and k predictors coupled with discussions on statistical inference, underlying assumptions, and regression diagnostics relative to MRC analysis. The book then builds on this foundation by presenting MRC variable selectilã#