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Discuss the assumptions underlying linear regression, and elaborate on their relevance for accurately interpreting model output.
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General
Structure your answer around the key assumptions (linearity, independence, homoscedasticity, normality, no multicollinearity) and explain how violations affect model interpretation.
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Hard Difficulty
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