The total sum of squares (SST) is always equal to the:
A) regression sum of squares plus the error sum of squares
B) regression sum of squares minus the error sum of squares
C) error sum of squares minus the regression sum of squares
D) regression sum of squares divided by the error sum of squares
Correct Answer:
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