Covers both theory and application so the reader can understand the basic principles and apply regression methods in a variety of practical settings. Revisions include new material on regression diagnostics, more sample computer output with expanded interpretations, a discussion on handling missing observations and introductions to handling generalized linear models and nonlinear regression.

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