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Applied Regression: An Introduction (Quantitative Applications in the Social Sciences), by Colin Lewis-Beck, Michael S. Lewis-Beck
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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. Authors Colin Lewis-Beck and Michael Lewis-Beck 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.
- Sales Rank: #66611 in Books
- Published on: 2015-07-27
- Original language: English
- Number of items: 1
- Dimensions: 8.30" h x .30" w x 5.50" l, .0 pounds
- Binding: Paperback
- 120 pages
Most helpful customer reviews
1 of 1 people found the following review helpful.
Wonderful! In a perfect world I could afford all ...
By Denise. C. H
This book is exactly what I needed for my advanced stats class. Wonderful! In a perfect world I could afford all of there green books, but there are waay too many. But they are lightweight and easy to use.
2 of 2 people found the following review helpful.
Five Stars
By William G. Kitto
best short summary there is.
0 of 0 people found the following review helpful.
Five Stars
By Darren
This book is fantastic. It's concise and covers most of the regression basics you would need really well.
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