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Choose the correct answer using sum of squared error (SSE).

The sum of squared error (SSE) is

1. measure of the total variation in Y about the mean.
2. measure of the total variation in X about the mean.
3. measure in the variation of Y about the regression line.
4. measure in the variation of X about the regression line.

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M922927

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