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# The linear optimization technique for allocating constrained resources among different products is: linear regression analysis B. linear...

27. The linear optimization technique for allocating constrained resources among different products is: A. linear regression analysis B. linear disaggregation C. linear decomposition D. linear programming E. linear tracking analysis 28. Which of the following is not a component of the structure of a linear programming model? A. Constraints B. Decision variables C. Parameters D. A goal or objective E. Environment of certainty 29. Coordinates of all corner points are substituted into the objective function when we use the approach called: A. Least Squares B. Regression C. Enumeration D. Graphical Linear Programming E. Constraint Assignment 30. Which of the following could not be a linear programming problem constraint? A. 1A + 2B 3 B. 1A + 2B 3 C. 1A + 2B = 3 D. 1A + 2B + 3C + 4D 5 E. 1 A + 2B 31. For the products A, B, C and D, which of the following could be a linear programming objective function? A. Z = 1A + 2B + 3C + 4D B. Z = 1A + 2BC + 3D C. Z = 1A + 2AB + 3ABC + 4ABCD D. Z = 1A + 2B/C + 3D E. all of the above 32. The logical approach, from beginning to end, for assembling a linear programming model begins with: A. identifying the decision variables B. identifying the objective function C. specifying the objective function parameters D. identifying the constraints E. specifying the constraint parameters 33. The region which satisfies all of the constraints in graphical linear progr27. The linear optimization technique for allocating constrained resources among different products is: A. linear regression analysis B. linear disaggregation C. linear decomposition D. linear programming E. linear tracking analysis 28. Which of the following is not a component of the structure of a linear programming model? A. Constraints B. Decision variables C. Parameters D. A goal or objective E. Environment of certainty 29. Coordinates of all corner points are substituted into the objective function when we use the approach called: A. Least Squares B. Regression C. Enumeration D. Graphical Linear Programming E. Constraint Assignment 30. Which of the following could not be a linear programming problem constraint? A. 1A + 2B 3 B. 1A + 2B 3 C. 1A + 2B = 3 D. 1A + 2B + 3C + 4D 5 E. 1 A + 2B 31. For the products A, B, C and D, which of the following could be a linear programming objective function? A. Z = 1A + 2B + 3C + 4D B. Z = 1A + 2BC + 3D C. Z = 1A + 2AB + 3ABC + 4ABCD D. Z = 1A + 2B/C + 3D E. all of the above 32. The logical approach, from beginning to end, for assembling a linear programming model begins with: A. identifying the decision variables B. identifying the objective function C. specifying the objective function parameters D. identifying the constraints E. specifying the constraint parameters 33. The region which satisfies all of the constraints in graphical linear progrA. optimum solution space B. region of optimality C. lower left hand quadrant D. region of non-negativity E. feasible solution space 34. In graphical linear programming the objective function is: A. linear B. a family of parallel lines C. a family of iso-profit lines D. all of the above E. none of the above