To solve the given optimization problem using Gurobi, we first need to understand and possibly simplify the constraints provided. The objective function to minimize is \(2.71 \times \text{hours worked by Bobby} + 4.52 \times \text{hours worked by Dale}\).

The variables are:
- \(x_0\): hours worked by Bobby
- \(x_1\): hours worked by Dale

Given resources/attributes:
- 'r0': work quality rating, with upper bound 26, and coefficients for Bobby (\(x_0\)) and Dale (\(x_1\)) as 2 and 6 respectively.
- 'r1': productivity rating, with upper bound 36, and coefficients for Bobby (\(x_0\)) and Dale (\(x_1\)) as 7 and 2 respectively.

Constraints:
1. Total combined work quality rating \(\geq 13\)
2. Total combined work quality rating \(\leq 25\)
3. Total combined productivity rating \(\geq 9\)
4. Total combined productivity rating \(\leq 20\)
5. \(-7x_0 + 5x_1 \geq 0\)

We can formulate the problem as follows:

Minimize \(2.71x_0 + 4.52x_1\)

Subject to:
- \(2x_0 + 6x_1 \geq 13\) (Work quality rating constraint)
- \(2x_0 + 6x_1 \leq 25\) (Work quality rating upper bound)
- \(7x_0 + 2x_1 \geq 9\) (Productivity rating constraint)
- \(7x_0 + 2x_1 \leq 20\) (Productivity rating upper bound)
- \(-7x_0 + 5x_1 \geq 0\) (Additional linear constraint)

```python
from gurobipy import *

# Create a new model
m = Model("Optimization_Problem")

# Define variables
x0 = m.addVar(name='hours_worked_by_Bobby', lb=0)  # Hours worked by Bobby
x1 = m.addVar(name='hours_worked_by_Dale', lb=0)   # Hours worked by Dale

# Set the objective function
m.setObjective(2.71*x0 + 4.52*x1, GRB.MINIMIZE)

# Add constraints
m.addConstr(2*x0 + 6*x1 >= 13, name='work_quality_rating_min')
m.addConstr(2*x0 + 6*x1 <= 25, name='work_quality_rating_max')
m.addConstr(7*x0 + 2*x1 >= 9, name='productivity_rating_min')
m.addConstr(7*x0 + 2*x1 <= 20, name='productivity_rating_max')
m.addConstr(-7*x0 + 5*x1 >= 0, name='additional_linear_constraint')

# Optimize model
m.optimize()

# Print solution
if m.status == GRB.OPTIMAL:
    print('Optimal solution found:')
    print(f'Hours worked by Bobby: {x0.x}')
    print(f'Hours worked by Dale: {x1.x}')
else:
    print('No optimal solution found')
```