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.