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Applied Multiple Regression/Correlation Analysis for Aviation Research by Michael A. Gallo & Ulreen O. McKinney is a nonfiction available to read on EtoBox.

What is Applied Multiple Regression/Correlation Analysis for Aviation Research about?

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 selection strategies (simultaneous, hierarchical, and statistical regression), analyzing sets of predictors, and introducing coding strategies for nominal predictors. The book concludes by presenting how MRC can be used to conduct an analysis of covariance (ANCOVA), interactions, mediation analysis, and binary logistic regression. Throughout the presentation, the book provides a balance between procedural knowledge as well as conceptual understanding. Detailed guided examples are presented at the end of each chapter that apply the topics and concepts of the

Who reads Applied Multiple Regression/Correlation Analysis for Aviation Research?

Author

Michael A. Gallo & Ulreen O. McKinney

Publisher

Routledge

Published

2025

Language

EN

ISBN

9781003506935

Category

nonfiction

Subjects

Mathematics, Applied Mathematics, Stem