In regression analysis, if the coefficient of determination is 1.0, then:
A) the sum of squares for error must be 1.0
B) the sum of squares for regression must be 1.0
C) the sum of squares for error must be 0.0
D) the sum of squares for regression must be 0.0
E) all of these
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