Data Were Collected on Monthly Sales Revenues (In $\$ 1,000 \mathrm {~s}$

Data were collected on monthly sales revenues (in $\$ 1,000 \mathrm {~s}$ ) and monthly advertising expenditures $( \$ 100 \mathrm {~s} )$ for a sample of drug stores. The regression line relating revenues $( \mathrm { Y } )$ to advertising expenditure $( \mathrm { X } )$ is estimated to be $\hat { y } = - 48.3 + 9.00 x$ . The correct interpretation of the slope is that for each additional

A) $\$ 1$ spent on advertising, predicted sales revenue increases by $\$ 9,000$ .
B) $\$ 100$ spent on advertising, predicted sales revenue increases by $\$ 9,000$ .
C) $\$ 100$ spent on advertising, predicted sales revenue decreases by $\$ 9,000$ .
D) $\$ 1,000$ in sales revenue, advertising expenditures decrease by $\$ 48.30$ .
E) $\$ 100$ in sales revenue, advertising expenditures decrease by $\$ 48.30$ .