Understanding Regression Assumptions

ISBN-13: 9780803942639 / Angielski / Miękka / 1993 / 104 str.

William D. Berry; Professor Michael S. Lewis-Beck

Opis

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.