The equation used to predict the net sales (in millions of dollars) for a fiscal year for a clothing retailer is

\[ \hat{y}=23,769+9.18 x_{1}-8.41 x_{2} \]

where \(x_{1}\) is the number of stores open at the end of the fiscal year and \(x_{2}\) is the average square footage per store. Use the multiple regression equation to predict the \(y\)-values for the values of the independent variables.

(a) \(x_{1}=1057, x_{2}=3698\)

(b) \(x_{1}=1012, x_{2}=3659\)

(c) \(x_{1}=952, x_{2}=3601\)

(d) \(x_{1}=914, x_{2}=3594\)