Understanding Regression Assumptions

By: William D. Berry

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Paperback | 23 April 1993

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104 Pages

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22.23 x 13.97 x 0.64

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Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the "substantive "meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.

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