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.