Applied Regression Analysis, Linear Models, and Related Methods
An accessible, detailed, and up-to-date treatment of regression analysis, linear models, and closely related methods is provided in this book. Incorporating nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences, the book begins with a consideration of the role of statistical data analysis in social research. It then moves on to cover the following topics: graphical methods for examining and transforming data; linear least-squares regression; dummy-variables regression; analysis of variance; diagnostic methods for discovering whether a linear model fit to data adequately represents the data; extensions to linear least squares, including logit and probit models, time-series regression, nonlinear
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I've only read the later chapters, but I found this book excellent for what I was looking for (statistical tests for regression models). I found it very thorough, and easy to understand. It included all of the extra bits that the other books skip, leaving you frustrated. I'm going to check out buying it for sure.