Intended as a text for a basic course in linear regression analysis, this manual blends both theory and application so that the reader will obtain an understanding of the basic principles necessary to apply regression methods in a variety of practical settings. New material has been added on regression diagnostics, sample computer output with expanded interpretations, handling missing observations, and handling generalized linear models and nonlinear regress. The examples and problem sets have been revised.

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