Which of the Following Sentences About Grand Mean Centring in Moderation

Which of the following sentences about grand mean centring in moderation analysis is not true?

A) Centring refers to the process of transforming a variable into deviations around a fixed point.
B) Grand mean centring for a given variable is achieved by taking each score and subtracting from it the mean of all scores (for that variable) .
C) Centring is particularly important when your model contains an interaction term.
D) Centring the predictors will directly affect the b for the highest-order predictor, but will have no effect on the bs for the lowest-order predictors.