Use graphical methods solve the following linear programming problem. Maximize: z = 5x + y subject to: x-ys 11 5x+3y ≤ 75 x20, y 20 Graph the feasible region using the graphing tool to the right. Click to enlarge graph Ay 26- 24 22 20 18 16 14 12 10 8 6- 4- 14 G

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### Solving Linear Programming Problem Using Graphical Methods

#### Objective:
Maximize: \( z = 5x + y \)

#### Constraints:
-\( x - y \leq 11 \)  
- \( 5x + 3y \leq 75 \)  
- \( x \geq 0 \)  
- \( y \geq 0 \)  

To solve the above linear programming problem graphically, follow these steps:

1. **Graphing the Constraints:**
   - Plot the line \( x - y = 11 \). This can be rewritten as \( y = x - 11 \).
   - Plot the line \( 5x + 3y = 75 \). This can be rewritten as \( y = \frac{75 - 5x}{3} \).

2. **Identifying the Feasible Region:**
   - Identify and shade the region that satisfies all the constraints simultaneously. This region is known as the feasible region.
   - Ensure that only the area where both \( x \geq 0 \) and \( y \geq 0 \) is considered, focusing on the first quadrant.

3. **Finding the Optimal Solution:**
   - The optimal solution lies at one of the corner points (vertices) of the feasible region.
   - Evaluate the objective function \( z = 5x + y \) at each vertex of the feasible region to find the maximum value.

#### Graph Description:
The image contains a blank graph with a coordinate system. The x-axis and y-axis both range from 0 to 16 and 0 to 26, respectively, with grid lines marking each unit. 

To create the feasible region:
- Calculate the x and y intercepts of each boundary line.
- Plot each line by marking intercepts or using the slope-intercept form.
- Shade the overlapping region that meets all constraints.

Use the graphing tool provided on the right side, labeled “Click to enlarge graph” to plot and illustrate the feasible region clearly.
Transcribed Image Text:### Solving Linear Programming Problem Using Graphical Methods #### Objective: Maximize: \( z = 5x + y \) #### Constraints: -\( x - y \leq 11 \) - \( 5x + 3y \leq 75 \) - \( x \geq 0 \) - \( y \geq 0 \) To solve the above linear programming problem graphically, follow these steps: 1. **Graphing the Constraints:** - Plot the line \( x - y = 11 \). This can be rewritten as \( y = x - 11 \). - Plot the line \( 5x + 3y = 75 \). This can be rewritten as \( y = \frac{75 - 5x}{3} \). 2. **Identifying the Feasible Region:** - Identify and shade the region that satisfies all the constraints simultaneously. This region is known as the feasible region. - Ensure that only the area where both \( x \geq 0 \) and \( y \geq 0 \) is considered, focusing on the first quadrant. 3. **Finding the Optimal Solution:** - The optimal solution lies at one of the corner points (vertices) of the feasible region. - Evaluate the objective function \( z = 5x + y \) at each vertex of the feasible region to find the maximum value. #### Graph Description: The image contains a blank graph with a coordinate system. The x-axis and y-axis both range from 0 to 16 and 0 to 26, respectively, with grid lines marking each unit. To create the feasible region: - Calculate the x and y intercepts of each boundary line. - Plot each line by marking intercepts or using the slope-intercept form. - Shade the overlapping region that meets all constraints. Use the graphing tool provided on the right side, labeled “Click to enlarge graph” to plot and illustrate the feasible region clearly.
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