An analyst used multiple linear regression to explore how a big box stores sale (y) are predicted by the store's advertising expenditure dollars (variable X1) and the advertising expenditure dollars of a specialty store (variable X2) in the same market.

The estimated regression is y = 651.57 +92.30x1-26.89X2

How are advertising expenditures and sales related in this scenario?

-if the specialty store increases its advertising expenditures, it will decrease the big box store's sales

-if the specialty store decreases its advertising expenditures, it will decrease the big box store's sales

-if the big box store increases its advertising expenditures, its sales will decrease

-if the big box store decreases its advertising expenditures, its sales will increase