Understanding Regression Assumptions

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 autocorrelation.Berry, William D. is the author of 'Understanding Regression Assumptions', published 1993 under ISBN 9780803942639 and ISBN 080394263X.