B. Use the table below to answer the following questions. Table 1: Solver Output Variable Cells Name Trail = City scape = Sea sprite = Blazer = Final Reduced Value Cost 100 0 0 -13 175 0 0 -2 Objective Allowable Allowable Coefficient Increase Decrease 30 1E+30 2.5 25 13 1E+30 22 2 2 20 2 1E+30 Constraints Name Space Usage Assembly time Usage Order Usage Final Shadow Constraint Allowable Allowable Value Price R.H. Side Increase Decrease 375 0 500 1E+30 125 1200 8 1200 125 100 275 -10 275 35 25 (1) If the profit on the Cityscape increases to $35, will any of the Cityscape bikes be ordered? (ii). Over what range of assembly hours is the shadow price applicable? (iii) If we require 5 more bikes in inventory, what will happen to the value of the optimal solution? (iv). Which resource should the company work to increase, inventory space or assembly time