Data were collected on monthly sales revenues (in $1000s) and monthly advertising expenditures ($100s) for a sample of drug stores. The regression line relating revenues (Y) to advertising expenditure (X) is estimated to be . The correct interpretation of the slope is that for each additional
$100 in sales revenue, advertising expenditures decrease by $48.30.
$1 spent on advertising, predicted sales revenue increases by $9000.
$100 spent on advertising, predicted sales revenue increases by $9000.
$1000 in sales revenue, advertising expenditures decrease by $48.30.
$100 spent on advertising, predicted sales revenue decreases by $9000.