If SSE is near zero in a regression, the statistician will conclude that the proposed model probably has too poor a fit to be useful.

Name: If SSE is near zero in a regression, the statistician will conclude that the proposed model probably has too poor a fit to be useful.
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A near-zero SSE (Sum of Squares due to Error) indicates that the model predictions closely match the observed data, suggesting a good fit rather than a poor one.

If SSE Is near Zero in a Regression, the Statistician