Data were collected on monthly sales revenues (in $1,000s) and monthly advertising expenditures ($100s) for a sample of drug stores. The regression line relating revenues(Y) to advertising expenditure (X) is estimated to bey= 48.3+9.00x. The correctinterpretation of the slope is that for each additional,

$1 spent on advertising, predicted sales revenue increases by $9,000.

$100 spent on advertising, predicted sales revenue increases by $9,000.

$100 spent on advertising, predicted sales revenue decreases by $9,000.

$1,000 in sales revenue, advertising expenditures decrease by $48.30.

$100 in sales revenue, advertising expenditures decrease by $48.30.