Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)
Understanding Regression Assumptions offers a focused introduction to the foundations of regression analysis in the social sciences. William D. Berry addresses the assumptions that guide responsible application and interpretation, making this volume a useful resource for students, researchers, and others working with quantitative social science methods.
About This Book
Understanding Regression Assumptions examines the principles underlying regression analysis in quantitative social science research.
The book focuses on the assumptions that support the use and interpretation of regression methods.
It is suited to readers seeking a clearer foundation for applying regression techniques in social science contexts.
As part of the Quantitative Applications in the Social Sciences series, it emphasizes practical understanding of an important statistical method.
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