Which of the following statements is true?
A) The sum of squares for treatments (SST) explains some of the variation.
B) The sum of squares for error (SSE) measures the amount of variation that is unexplained.
C) SS(Total) = SST + SSE
D) All of these choices are correct.

Question

Quizplus · Accepted Answer

All of the statements are true. 
A) The SST explains the variation between the group means and the overall mean. 
B) The SSE measures the variability within each group, which remains unexplained after accounting for the differences between group means. 
C) The total variability in the data is partitioned into two components, SST and SSE. Thus, SS(Total) = SST + SSE.

Which of the Following Statements Is True