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examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both;
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the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and;
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This book is a comprehensive treatment of correlationregression techniques and using SPSS for interpretation of findings. Striking a;
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management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach. Readers;
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encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path;
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It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;
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Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;
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. Business Statistics II includes analysis of variance, simple linear regression, correlation analysis, multiple regression analysis, non parametric;
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This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the;
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Correlation and Regression Analysis: Applications for Industrial Organizations book discusses the important theoretical concepts such as;
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Applied Multivariate Statistical Analysis, is a book that is intended for university students of any college. You'll find theory as;
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behavioral sciences are exposed to the complex multivariate statistical techniques such as correlation and multiple regression, exploratory factor;
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Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for;
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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical;
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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical;
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; partial correlation; simple linear regression; multiple regression; factor analysis; Kaplan-Meier and life tables. Invaluable for undergraduate;
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; partial correlation; simple linear regression; multiple regression; factor analysis; Kaplan-Meier and life tables. Invaluable for undergraduate;
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This is today's most complete guide to regression analysis with Microsoft (R) Excel for any business analytics or research task. Drawing on;
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regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and;
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regression model in detail Illustrates concepts with applied examples to help readers understand how concepts are translated into the logistic;
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This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;
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of the main text. This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to;
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The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple;
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analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way;
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The SSM features worked solutions to select problems in Applied Regression Analysis and Other Multivariable Methods, 5e.;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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