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How do you interpret the coefficients of a linear regression, and why is it dangerous to extrapolate beyond the training data?
Also asked as "What assumptions are implicit when interpreting regression weights?"
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Also asked as "What assumptions are implicit when interpreting regression weights?"
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Interview question asked to Data Scientists interviewing at Snowflake, Sprinklr, Lattice and other companies. Original question asked: How do you interpret the coefficients of a linear regression, and why is it dangerous to extrapolate beyond the training data?.