Understanding Regression Assumptions (Quantitative Applications in the Social Sciences Book 92)

Understanding Regression Assumptions (Quantitative Applications in the Social Sciences Book 92)

<p>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 <i>substantive </i>meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation. </p>