Applied Regression: An Introduction, Issue 22
Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy variables.
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Review: Applied Regression: An IntroductionUser Review - Steven Peterson - Goodreads
This is a nice brief introduction to regression. Regression is a work horse statistical technique, for instance in the social sciences. This is not written at an advanced level (see Tim Keith's published book on the subject for a more detailed, more technical discussion). Read full review