Last Updated：2025/11/25
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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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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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scedasticity
Noun
countable
uncountable
Japanese Meaning
誤差項の分布。誤差項がランダムかつ一定の分散を持つ（等分散）場合、または何らかのパターンに沿って分布する（不等分散）場合があるという統計学における概念。
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