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

The sum of squared error (SSE) is

1. a measure of the total variation in Y about the mean.

2. a measure of the total variation in X about the mean.

3. a measure in the variation of Y about the regression line.

4. a measure in the variation of X about the regression line.

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Statistics and Probability, Statistics

Category:- Statistics and Probability
Reference No.:- M9172770

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