Linear programming models must have a linear relationship between variables and constraints, an objective function, structural constraints, and non-negativity constraints. The assumption of linear programming is that the constraints and objective function are linear, and decision variables can have fractional values. Linear programming is used for optimizing limited resources when there are alternate solutions possible for the problem. The term "linear" refers to the fact that the relationship between variables can be represented in the farm of a straight line. Option 2 is incorrect as linear programming models must have a linear relationship between variables and constraints