Your question is OLS Assumptions and Fixes. Take a moment with it on the right.
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What are the core assumptions of Ordinary Least Squares (OLS) linear regression? How do you diagnose and address violations of these assumptions?
Use the supplied tabular regression dataset and provide a practical analysis. Explain how each violation affects coefficient estimates, standard errors, predictions, or statistical inference. Include reproducible Python code, diagnostic evidence, remediation choices, and an evaluation comparison before and after remediation. Distinguish assumptions required for unbiased estimation from assumptions mainly required for valid hypothesis tests and confidence intervals.