In a simple regression problem,the following data is shown below: Standard error of estimate s_e = 18,n = 10.
What is the error sum of squares?

Question

In a simple regression problem,the following data is shown below: Standard error of estimate s_e = 18,n = 10. What is the error sum of squares? A)2916 B)2592 C)1800 D)3240

Quizplus · Accepted Answer

The error sum of squares (SSE) in a regression analysis is calculated as SSE = s^2 * (n - 2), where s is the standard error of the estimate, and n is the number of observations. Given s = 18 and n = 10, SSE = 18^2 * (10 - 2) = 324 * 8 = 2592.

In a Simple Regression Problem,the Following Data Is Shown Below