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Applied Regression
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Applied Regression : An Introduction

2 Revised edition

by Colin Lewis-Beck , Michael S. Lewis-Beck

Book Details

Format Paperback / Softback
Book Series Quantitative Applications in the Social Sciences
ISBN-10 1483381471
ISBN-13 9781483381473
Edition 2 Revised edition
Publisher SAGE Publications Inc
Imprint SAGE Publications Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 8th, 2015
Print length 120 Pages
Weight 146 grams
Dimensions 14.20 x 21.70 x 0.70 cms
Product Classification: Research methods: general Probability & statistics
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Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.
Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. The authors then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.

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