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 (Y) to advertising expenditure $( \mathrm { X } )$ is estimated to be $\hat { y } = - 48.3 + 9.00 x$. The predicted sales revenue for a month in which $\$ 1,000$ was spent on advertising is
A) $\$ 50,000$.
B) $\$ 851.70$.
C) $\$ 8,951.70$.
D) $\$ 41,700$.
E) $\$ 90,000$.

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The Answer of 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 (Y) to advertising expenditure $( \mathrm { X } )$ is estimated to be $\hat { y } = - 48.3 + 9.00 x$. The predicted sales revenue for a month in which $\$ 1,000$ was spent on advertising is
A) $\$ 50,000$.
B) $\$ 851.70$.
C) $\$ 8,951.70$.
D) $\$ 41,700$.
E) $\$ 90,000$.

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

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