1. An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x 1 ) and $...

1. An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x₁) and $ salary of sales representatives (x₂) across all the branches. You obtained the following regression function: y = 7800 + 8.5x₁-1.6x_2.If the advertising budgets of one of the branches of the corporation is now $45,000 (which is 10% more than before) and the salary of sales representatives is now $8,500 (which is 20% less than before), then the predicted sales before in that branch is

a. $417,750

b. $341,250

c. $376,700

d. $335,650