If the standard error of estimate = 18 and n = 10, then the error sum of squares, SSE, is:

A) 2916
B) 2592
C) 1800
D) 3240

Danny or Yadira, I enjoy answering your questions, and I understand that you need help when you have complex problems. It is perhaps time to do some revision and work out some of the fundamental definitions. The work will pay off at exam time.

I suggest you show us your attempts at this question after a short revision of the related material.

Hope to hear from you soon.

To find the error sum of squares (SSE), we need to first determine the mean squared error (MSE) and then multiply it by the number of observations (n).

The standard error of estimate (SE) is equal to the square root of the MSE. Therefore, to find the MSE, we need to square the SE.

Given that SE = 18, we can find the MSE by squaring SE:

MSE = SE^2 = 18^2 = 324

Now that we have the MSE, we can find the SSE by multiplying MSE by the number of observations (n):

SSE = MSE * n = 324 * 10 = 3,240.

Therefore, the correct answer is option D) 3240.