Read complete books and articles on: Linear Regression

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16 of the Best Books and Articles on: Linear Regression

as selected by Questia librarians

1.

Statistical Concepts: A Second Course for Education and the Behavioral Sciences (Chap. 1 "Simple Linear Regression") » Read Now
by Richard G. Lomax. 330 pgs.

Collections: Entire Library

Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage in a flexible format so instructors can pick and...
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Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage in a flexible format so instructors can pick and choose topics. It features topics not traditionally found in other textbooks, such as the layout of the data in ANOVA models, the ANOVA linear models, expected mean squares in ANOVA models, and stepwise regression. The book features a thorough and current discussion of assumptions, the effects of their violations, and how to deal with their violation. This text is designed for a second or intermediate course in statistics for students in education and the behavioral sciences. It includes a number of regression and analysis of variance models, all subsumed under the general linear model (GLM). A prerequisite of introductory statistics (descriptive statistics through t-tests) is assumed.
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2.

An Introduction to Statistical Concepts for Education and Behavioral Sciences (Chap. 11 "Simple Linear Regression") » Read Now
by Richard G. Lomax. 522 pgs.

Collections: Education, Psychology, Entire Library

This book provides comprehensive coverage so that it can be used in a single- or two-course sequence in statistics. It provides greater flexibility because it contains many topics not dealt with in other introductory texts. Its conceptual, intuitive approach allows for concepts to be easily stated...
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This book provides comprehensive coverage so that it can be used in a single- or two-course sequence in statistics. It provides greater flexibility because it contains many topics not dealt with in other introductory texts. Its conceptual, intuitive approach allows for concepts to be easily stated and related to real-life examples. Throughout the text the author demonstrates how many statistical concepts can be related to one another. Unlike other texts, this book includes the following topics: * skewness and kurtosis measures; * inferences about two dependent proportions and two independent means with unequal variances; * homogeneity of variance tests; * layout of the data in ANOVA models; * the ANOVA linear model; * a wide variety of multiple comparison procedures; * significance tests in multiple linear regression; and * extensive discussion of assumptions and how to deal with assumption violations. Numerous tables and figures help illustrate concepts and present examples within the text. An extensive bibliography is included. A number of pedagogical devices are included to increase the reader's conceptual understanding of statistics: chapter outlines; list of key concepts for each chapter; chapter objectives; numerous realistic examples; summary tables of statistical assumptions; extensive references; and end of chapter conceptual and computational problems. An instructor's manual is available containing answers to all of the problems, as well as a collection of statistical humor designed to be an instructional aid. This book is intended for introductory statistics courses for students in education and behavioral sciences.
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3.

Statistics: An Introduction to Quantitative Economic Research (Chap. VII "The Function as an Equation I: Simple Linear Regression") » Read Now
by Daniel B. Suits. 260 pgs.

Collections: Entire Library

...as an Equation I: Simple Linear Regression 155 VIII...7.3 Calculation of Linear Regression, = a + bX, "Direct" Method...7.4 Standard Work Sheet for Linear Regression 165...
4.

Methods of Correlation and Regression Analysis, Linear and Curvilinear » Read Now
by Mordecai Ezekiel, Karl A. Fox. 550 pgs.

Collections: Entire Library

...largely ignore the use of non-linear regressions as practical working tools...unusually full treatment of non-linear regression, the title of the book has...SECTION II...
5.

Analyzing Quantitative Behavioral Observation Data ("Linear Regression" begins on p. 206) » Read Now
by Hoi K. Suen, Donald Ary. 362 pgs.

Collections: Psychology, Entire Library

...ANALYZING QUANTITATIVE BEHAVIORAL OBSERVATION DATA ANALYZING QUANTITATIVE BEHAVIORAL OBSERVATION DATA Hoi K. Suen University of Connecticut Donald Ary...
6.

Research Methods in Applied Settings: An Integrated Approach to Design and Analysis ("Linear Regression" begins on p. 257) » Read Now
by Jeffrey A. Gliner, George A. Morgan. 472 pgs.

Collections: Entire Library

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a...
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The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.
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7.

A Beginner's Guide to Structural Equation Modeling ("Multiple Regression" begins on p. 35) » Read Now
by Randall E. Schumacker, Richard G. Lomax. 288 pgs.

Collections: Entire Library

...one variables scores through linear regression , reliability estimates test...path analysis". Multiple Linear Regression Viewpoints, 19 1 , 7...provided with the multiple...
8.

An Introduction to the Analysis of Variance (Chap. 12 "Regression, ANOVA, and the General Linear Model") » Read Now
by Richard S. Bogartz. 572 pgs.

Collections: Entire Library

This book is for students taking either a first-year graduate statistics course or an advanced undergraduate statistics course in Psychology. Enough introductory statistics is briefly reviewed to bring everyone up to speed. The book is highly user-friendly without sacrificing rigor, not only in...
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This book is for students taking either a first-year graduate statistics course or an advanced undergraduate statistics course in Psychology. Enough introductory statistics is briefly reviewed to bring everyone up to speed. The book is highly user-friendly without sacrificing rigor, not only in anticipating students' questions, but also in paying attention to the introduction of new methods and notation. In addition, many topics given only casual or superficial treatment are elaborated here, such as: the nature of interaction and its interpretation, in terms of theory and response scale transformations; generalized forms of analysis of covariance; extensive coverage of multiple comparison methods; coverage of nonorthogonal designs; and discussion of functional measurement. The text is structured for reading in multiple passes of increasing depth; for the student who desires deeper understanding, there are optional sections; for the student who is or becomes proficient in matrix algebra, there arestill deeper optional sections. The book is also equipped with an excellent set of class-tested exercises and answers.
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9.

An Introduction to Modern Statistical Methods (1939) » Read Now
by Paul R. Rider. 224 pgs.

Collections: Entire Library

...York, 1938, pp. 655-659. linear regression of the form 22 to the data...correlation. If we have found a linear regression equation of X 1 on X...excepting X 2 , by means of...
10.

Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model, in The American Statistician » Read Now
by J. Scott Long, Laurie H. Ervin. 8 pgs.

Collections: Entire Library

...Consistent Standard Errors in the Linear Regression Model by J. SCOTT LONG...when the assumptions of the linear regression model are correct, ordinary...versions of the...
11.

A Note on Marginal Linear Regression with Correlated Response Data, in The American Statistician » Read Now
by Wei Pan, Thomas A. Louis, John E. Connett. 5 pgs.

Collections: Entire Library

...A Note on Marginal Linear Regression With Correlated Response Data...may arise in the context of linear regression, where the GEE estimates of...as a special case the usual...
12.

Simple Forms of the Best Linear Unbiased Predictor in the General Linear Regression Model, in The American Statistician » Read Now
by Silvia N. Elian. 4 pgs.

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...Unbiased Predictor in the General Linear Regression Model. by SILVIA N...prediction problem under the simple regression linear model with intercept, assuming...Consider the...
13.

Construction of a Conservative Confidence Region from Projections of an Exact Confidence Region in Multiple Linear Regression, in The American Statistician » Read Now
by David M. Nickerson. 5 pgs.

Collections: Entire Library

...confidence region in multiple linear regression by David M. Nickerson...Consider the usual multiple linear regression model Y.sub.i = beta.sub...simultaneous estimation of...
14.

Suppression and Confounding in Action, in The American Statistician » Read Now
by Henry S. Lynn. 4 pgs.

Collections: Entire Library

...effect of multicollinearity in linear regression, and students are often shown...affects logistic regression and linear regression differently. 2. SUPPRESSION AND...
15.

Elemental Subsets: The Building Blocks of Regression, in The American Statistician » Read Now
by Matthew S. Mayo, J. Brian Gray. 8 pgs.

Collections: Entire Library

...INTRODUCTION The multiple linear regression model is of the form Y...1968) described robust simple linear regression estimators of slope and intercept...contained in X. For...
16.

An Inequality for a Measure of Deviation in Linear Models, in The American Statistician » Read Now
by Thomas Mathew, Kenneth Nordstrom. 6 pgs.

Collections: Entire Library

...standardized residuals in a linear regression model. The related question...various versions of the standard linear regression model for an n x 1 vector y...commonplace in...