A regression analysis between sales (Y) and advertising (X) (both in dollars) resulted in the following equation: Y=200+12000X The above equation implies that an A) increase of $1 in advertising is correlated with an increase of $12,000 in sales. B) increase of $1 in advertising is correlated with an increase of $200 in sales. C) increase of $1 in advertising is correlated with a decrease of $12,000 in sales. D) increase of $1 in advertising is correlated with a decrease of $200 in sales.

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