Final answer:
A feasible solution in linear programming is indeed any set of values for decision variables that do not violate any of the given constraints. Alphonso’s budget constraint represents all combinations of burgers and bus tickets he can afford, demonstrating feasible solutions within his budget.
Step-by-step explanation:
The statement is true: "A feasible solution of a linear programming model is a solution that represents the values for all decision variables that satisfies all the constraints." In the context of linear programming, a feasible solution refers to any set of values for decision variables that meet all of the model's constraints. For instance, if we consider Alphonso's budget constraint involving burgers and bus tickets, with the constraint being defined by a line segment connecting points A to F, then any point along or within this line segment represents a feasible solution within Alphonso's budget.
Alphonso's choice would likely involve a mix of burgers and bus tickets. Therefore, any combination of these two goods that lies on or within the budget constraint line segment between points A and F is within his budgetary capabilities. Conversely, any combination outside of this constraint, meaning it would cost more than what is in Alphonso's budget, is considered infeasible.