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Medium soft cover
Excellent condition
Allen L. Edwards An Introduction to Linear Regression and Correlation offers a clear, methodical guide to understanding two foundational statistical techniques used in behavioral and social sciences. The book explains how linear regression helps predict one variable based on another, emphasizing the importance of the regression equation, slope, intercept, and the concept of least squares. It also explores correlation as a measure of the strength and direction of the relationship between variables, introducing Pearsons r and discussing its interpretation, significance testing, and limitations. Edwards uses practical examples and step-by-step calculations to demystify these concepts, making them accessible to students and researchers seeking to apply statistical reasoning to real-world data.