Suppose that we have the least squares regression line Y = 3 + 2X and that the sum of the squares of the errors (SSE) for this line is 13,712. What can be said about the sum of the squares of the errors (SSE) for this data set and the line Y = 3 + 2.5X? A) The sum of the squares of the errors (SSE) for the line Y = 3 + 2.5X will be less than 13,712.

B) The sum of the squares of the errors (SSE) for the line Y = 3 + 2.5X will be 13,712.

C) The sum of the squares of the errors (SSE) for the line Y = 3 + 2.5X will be greater than 13,712.