Exhibit 12-6
For the following data the value of SSE = 0.4130.
$$\begin{array} { c c }
\text { Dependent Varinble } Y )& \text { Independent Varinble X)} \
15 & 4 \
17 & 6 \
23 & 2 \
17 & 4
\end{array}$$
-Refer to Exhibit 12-6. The total sum of squares SST) equals
A) 36
B) 18
C) 9
D) 1296

Question

Exhibit 12-6
For the following data the value of SSE = 0.4130.
 $$\begin{array} { c c } 
\text { Dependent Varinble } Y )& \text { Independent Varinble X)} \
15 & 4 \
17 & 6 \
23 & 2 \
17 & 4
\end{array}$$
-Refer to Exhibit 12-6. The total sum of squares SST) equals
A) 36
B) 18
C) 9
D) 1296

Quizplus · Accepted Answer

The total sum of squares (SST) is calculated by summing the squared differences between each dependent variable value and the mean of the dependent variable. The correct calculation results in SST = 36.