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What is Diagnosing Regression Assumptions about?

This chapter discusses assumptions of linear regression models and diagnostic procedures to assess these assumptions. It covers assumptions of linearity, normality, homoskedasticity, and independence. Various visual and statistical tests are presented to diagnose validity of the assumptions, including plots of residuals and formal lack-of-fit and hypothesis tests.

Author

musamhlaba0329

Language

EN