Given a data set for sales for a product sold by given company. Use the data to answers questions $8-12.$

Pounds Week Price$/$pound

$8,8151$ $$2\mathrm{.}35$

$6,5412$ $$2\mathrm{.}40$

$6,6503$ $$3\mathrm{.}12$

$9,9494$ $$4\mathrm{.}98$

$8,6005$ $$4\mathrm{.}01$

$12,4306$ $$4\mathrm{.}92$

$10,9107$ $$5\mathrm{.}03$

$8,8898$ $$4\mathrm{.}98$

$12,7219$ $$2\mathrm{.}92$

$14,83010$ $$2\mathrm{.}90$

$11$ $$14\mathrm{.}80$

$1.$ Develop a multiple regression model for the data using Excel Data Analysis tool. What will be the regression equation?

A$)$ Forecast $=6,879\mathrm{.}27+724\mathrm{.}10$Week $-220\mathrm{.}24$Price$/$pound

B$)$ Forecast $=724\mathrm{.}10+6,879\mathrm{.}27$Week $-220\mathrm{.}24$Price$/$pound

C$)$ Forecast $=724\mathrm{.}10+220\mathrm{.}24$Week $-6,879\mathrm{.}27$Price$/$pound

D$)$ Forecast $=6,879\mathrm{.}27+220\mathrm{.}24$Week $-724\mathrm{.}10$Price$/$pound