Last Updated：2025/11/25
When diagnosing regression models, it's important to test for scedasticity because nonrandom patterns in the error variance can invalidate standard errors.
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When diagnosing regression models, it's important to test for scedasticity because nonrandom patterns in the error variance can invalidate standard errors.
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