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.

c

step-by-step explanation: easy math

let's first notice, the center of the hyperbola is at the origin, since the focus points are equidistantly 3 units away from the origin, that also means that the distance "c" from the center to either focus is 3.

it should also be notable that, the traverse axis for this hyperbola is vertical, or namely over the y-axis and therefore, the positive fraction will be the one with y-variable.

the traverse "a" component or distance from the center to either vertex is not 2, is more than 2, so we can safely put it at √5 ≈ 2.24.