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Fill in the blank on the following equation:

_____=SSR+SSE

1 answer

The blank can be filled with SST.

The equation can be expressed as:

\[ SST = SSR + SSE \]

where:

  • SST (Total Sum of Squares) measures the total variation in the dataset.
  • SSR (Regression Sum of Squares) measures the variation explained by the regression model.
  • SSE (Error Sum of Squares) measures the variation that is not explained by the model (i.e., the error).