Step 1: Understanding the Concept:
The feasible region of a linear programming problem is the set of all points \((X_1, X_2)\) that satisfy all the given constraints simultaneously. We need to identify which of the labeled regions on the graph corresponds to this set of points.
Step 2: Detailed Explanation:
Let's analyze each constraint and the corresponding region on the graph. We also have the implicit constraints \(X_1 \ge 0\) and \(X_2 \ge 0\), as the graph is in the first quadrant.
1. \(X_1 \le 45\): This means the feasible region must be to the left of the vertical line \(X_1 = 45\).
2. \(X_2 \le 50\): This means the feasible region must be below the horizontal line \(X_2 = 50\).
3. \(10X_1 + 10X_2 \ge 600\): This simplifies to \(X_1 + X_2 \ge 60\). The line \(X_1 + X_2 = 60\) has intercepts at (60, 0) and (0, 60). Since the inequality is \(\ge\), the feasible region must be on or above this line. Regions P and R are below this line, so they are not feasible.
4. \(25X_1 + 5X_2 \le 750\): This simplifies to \(5X_1 + X_2 \le 150\). The line \(5X_1 + X_2 = 150\) has intercepts at (30, 0) and (0, 150). Since the inequality is \(\le\), the feasible region must be on or below this line. Region Q is above this line, so it is not feasible.
Step 3: Identifying the Feasible Region:
The feasible region must satisfy all four conditions:
- To the left of \(X_1 = 45\)
- Below \(X_2 = 50\)
- Above or on the line \(X_1 + X_2 = 60\)
- Below or on the line \(5X_1 + X_2 = 150\)
Only Region S (the yellow shaded area) satisfies all these conditions simultaneously. It is bounded by the four constraint lines.
Step 4: Final Answer:
The feasible region is represented by Region S.
Step 5: Why This is Correct:
Region S is the unique intersection of all the half-planes defined by the constraints. Region P violates constraint 3. Region Q violates constraint 4. Region R violates multiple constraints, including constraint 3. Therefore, S is the only feasible region.