Step 1: Graphing the constraints.
To solve the linear programming problem graphically, we need to plot the constraints on the coordinate plane. First, convert the inequalities into equations:
\( x + 3y = 60 \)
\( x + y = 10 \)
\( x - y = 0 \)
\( x = 0 \) (the y-axis)
\( y = 0 \) (the x-axis)
Next, plot these lines on a graph.
Step 2: Finding the feasible region.
The feasible region is the region that satisfies all the inequalities. It is the intersection of all the half-planes determined by the inequalities. Identify the vertices of the feasible region.
Step 3: Evaluating the objective function at the vertices.
The objective function is \( Z = 4x + 2y - 7 \). Evaluate this function at each vertex of the feasible region.
Step 4: Conclusion.
The maximum and minimum values of \( Z \) occur at the vertices of the feasible region. The graphical solution will give the values of \( x \) and \( y \) that maximize and minimize \( Z \).