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The sum of squares for error (SSE) measures the amount of variation that is explained by the ANOVA model, while the sum of squares for
The sum of squares for error (SSE) measures the amount of variation that is explained by the ANOVA model, while the sum of squares for treatments (SST) measures the amount of variation that remains unexplained.
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