Regression Analysis for Social Sciences presents strategies of regression analysis in an accessible approach, with each methodology having illustrations and examples. A broad spectrum of strategies are included: multiple categorical predictors, strategies for curvilinear regression, and strategies for symmetric regression. This e-book can be used for courses in regression analysis on the superior undergraduate and beginning graduate degree within the social and behavioral sciences. Most of the methods are defined step-by-step enabling students and researchers to research their own data. Examples include information from the social and behavioral sciences as well as biology, making the ebook useful for readers with biological and biometrical backgrounds. Pattern command and result files for SYSTAT are included in the text.
Key Features
* Presents accessible methods of regression evaluation
* Includes a broad spectrum of strategies
* Techniques are defined step-by-step
* Supplies pattern command and end result information for SYSTAT
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