Text Book Of Correlations And Regression

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Text Book of Correlations and Regression

Author : A.K. Sharma
Publisher : Discovery Publishing House
ISBN 13 : 9788171419357
Total Pages : 220 pages
Book Rating : 4.4/5 (193 download)

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Book Synopsis Text Book of Correlations and Regression by : A.K. Sharma

Download or read book Text Book of Correlations and Regression written by A.K. Sharma and published by Discovery Publishing House. This book was released on 2005 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book Correlation and Regression is an outcome of authors long teaching experience of the subject. This book present a thorough treatment of what is required for the students of B.A/B.Sc., of all Indian Universities. It includes fundamental concepts, illustrated examples and application to various problems. These illustrative examples have been selected carefully on such topic and sufficient number of unsolved questions are provided which aims at sharpening the skill of students. Contents: Correlation Analysis, Regression Analysis, Partial and Multiple Correlation.

Correlation and Regression

Author : Philip Bobko
Publisher : SAGE Publications
ISBN 13 : 150631595X
Total Pages : 303 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Correlation and Regression by : Philip Bobko

Download or read book Correlation and Regression written by Philip Bobko and published by SAGE Publications. This book was released on 2001-04-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: ". . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and complete treatment of the subject. . . . there is a familiarity and love of the material that radiates through the words." --Malcolm James Ree, ORGANIZATIONAL RESEARCH METHODS, April 2002 "This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice." --Paul E. Spector, University of South Florida "As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility." --Steven G. Rogelberg, Bowling Green State University Building on the classical examples in the first edition, this updated edition provides students with an accessible textbook on statistical theories in correlation and regression. Taking an applied approach, the author uses concrete examples to help the student thoroughly understand how statistical techniques work and how to creatively apply them based on specific circumstances they face in the "real world." The author uses a layered approach in each chapter, first offering the student an intuitive understanding of the problems or examples and progressing through to the underlying statistics. This layered approach and the applied examples provide students with the foundation and reasoning behind each technique, so they will be able to use their own judgement to effectively choose from the alternative data analytic options.

Applying Regression and Correlation

Author : Jeremy Miles
Publisher : SAGE
ISBN 13 : 9780761962304
Total Pages : 266 pages
Book Rating : 4.9/5 (623 download)

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Book Synopsis Applying Regression and Correlation by : Jeremy Miles

Download or read book Applying Regression and Correlation written by Jeremy Miles and published by SAGE. This book was released on 2001-03-08 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Takes a look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.

Correlation and Regression Analysis

Author : Thomas J. Archdeacon
Publisher : Univ of Wisconsin Press
ISBN 13 : 9780299136543
Total Pages : 380 pages
Book Rating : 4.1/5 (365 download)

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Book Synopsis Correlation and Regression Analysis by : Thomas J. Archdeacon

Download or read book Correlation and Regression Analysis written by Thomas J. Archdeacon and published by Univ of Wisconsin Press. This book was released on 1994 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: A blueprint for historians to understand and evaluate the variables and discusses the fundamentals of regression analysis. 2 looks at procedures for assessing the level of association among diagnostic methods for identifying and correcting shortcomings Finally, part 3 presents more advanced topics, including in regression models. quantitative analyses they're likely to encounter in journal literature and monographs on research in the social sciences. ignore the fact that most historians have little background in mathematics would be folly, to decipher equations and follow their logic. Concepts are introduced carefully, and the operation of equations is explained step by step. Annotation copyright by Book News, Inc., Portland, OR

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Author : Patricia Cohen
Publisher : Psychology Press
ISBN 13 : 1135468257
Total Pages : 572 pages
Book Rating : 4.1/5 (354 download)

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Book Synopsis Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by : Patricia Cohen

Download or read book Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences written by Patricia Cohen and published by Psychology Press. This book was released on 2014-04-04 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

Correlation and Regression

Author : Philip Bobko
Publisher : SAGE
ISBN 13 : 0761923039
Total Pages : 303 pages
Book Rating : 4.7/5 (619 download)

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Book Synopsis Correlation and Regression by : Philip Bobko

Download or read book Correlation and Regression written by Philip Bobko and published by SAGE. This book was released on 2001-04-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text takes statistical theory in correlation and regression and makes it accessible to readers using words and equations. Examples are used to explain how the techniques work and under what circumstances some creativity in application is necessary.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Author : Jacob Cohen
Publisher : Routledge
ISBN 13 : 1134801017
Total Pages : 666 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by : Jacob Cohen

Download or read book Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-06-17 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

Learning Statistics with R

Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)

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Book Synopsis Learning Statistics with R by : Daniel Navarro

Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Methods of Correlation and Regression Analysis, Linear and Curvilinear

Author : Mordecai Ezekiel
Publisher :
ISBN 13 :
Total Pages : 580 pages
Book Rating : 4.:/5 (5 download)

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Book Synopsis Methods of Correlation and Regression Analysis, Linear and Curvilinear by : Mordecai Ezekiel

Download or read book Methods of Correlation and Regression Analysis, Linear and Curvilinear written by Mordecai Ezekiel and published by . This book was released on 1959 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory concepts; Simple regression, linear and curvilinear; Multiple linear regressions; Multiple curvilinear regressions; Significance of correlation and regression results; Miscellaneous special regression methods; Uses and philosophy of correlation and regresion analysis; Types of problems to which correlation and regression analysis have been applied; Steps in research work, and the place of statistical analysis.

Essential Statistics, Regression, and Econometrics

Author : Gary Smith
Publisher : Academic Press
ISBN 13 : 0128034920
Total Pages : 397 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Essential Statistics, Regression, and Econometrics by : Gary Smith

Download or read book Essential Statistics, Regression, and Econometrics written by Gary Smith and published by Academic Press. This book was released on 2015-06-08 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics Focuses on essential information to enable students to develop their own statistical reasoning Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters

Regression Analysis and Linear Models

Author : Richard B. Darlington
Publisher : Guilford Publications
ISBN 13 : 1462527981
Total Pages : 689 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Regression Analysis and Linear Models by : Richard B. Darlington

Download or read book Regression Analysis and Linear Models written by Richard B. Darlington and published by Guilford Publications. This book was released on 2016-08-22 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Linear Regression

Author : David J. Olive
Publisher : Springer
ISBN 13 : 331955252X
Total Pages : 499 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Linear Regression by : David J. Olive

Download or read book Linear Regression written by David J. Olive and published by Springer. This book was released on 2017-04-18 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models. There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models. This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics.

Multiple Regression and Beyond

Author : Timothy Z. Keith
Publisher : Routledge
ISBN 13 : 1351667939
Total Pages : 640 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Multiple Regression and Beyond by : Timothy Z. Keith

Download or read book Multiple Regression and Beyond written by Timothy Z. Keith and published by Routledge. This book was released on 2019-01-14 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources

Linear Models in Statistics

Author : Alvin C. Rencher
Publisher : John Wiley & Sons
ISBN 13 : 0470192607
Total Pages : 690 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Linear Models in Statistics by : Alvin C. Rencher

Download or read book Linear Models in Statistics written by Alvin C. Rencher and published by John Wiley & Sons. This book was released on 2008-01-07 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Intermediate Statistics Using SPSS

Author : Herschel Knapp
Publisher : SAGE Publications
ISBN 13 : 1506377416
Total Pages : 381 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Intermediate Statistics Using SPSS by : Herschel Knapp

Download or read book Intermediate Statistics Using SPSS written by Herschel Knapp and published by SAGE Publications. This book was released on 2017-09-14 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.

Multiple Regression

Author : Paul D. Allison
Publisher : Pine Forge Press
ISBN 13 : 9780761985334
Total Pages : 230 pages
Book Rating : 4.9/5 (853 download)

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Book Synopsis Multiple Regression by : Paul D. Allison

Download or read book Multiple Regression written by Paul D. Allison and published by Pine Forge Press. This book was released on 1999 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters."--Pub. desc.

Understanding Regression Analysis

Author : Larry D. Schroeder
Publisher : SAGE
ISBN 13 : 9780803927582
Total Pages : 100 pages
Book Rating : 4.9/5 (275 download)

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Book Synopsis Understanding Regression Analysis by : Larry D. Schroeder

Download or read book Understanding Regression Analysis written by Larry D. Schroeder and published by SAGE. This book was released on 1986-04 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing beginners with a background to the frequently-used technique of linear regression, this text provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.