7min chapter

Super Data Science: ML & AI Podcast with Jon Krohn cover image

649: Introduction to Machine Learning

Super Data Science: ML & AI Podcast with Jon Krohn

CHAPTER

Assumptions of Linear Regression Models

Exploring five key assumptions in linear regression models: linearity, homoscedasticity, multivariate normality, independence of observations, and lack of multicollinearity. Emphasizing the significance of understanding these assumptions for accurate applications in regression modeling.

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