Based on prior knowledge, glucose levels can provide valuable insights into whether a person has diabetes or not. Typically, higher glucose levels are associated with diabetes.

To analyze the relationship between the Glucose feature and the task of determining whether a person has diabetes, we can consider the following:

1. **Higher Glucose levels**: In individuals with diabetes, it is common to observe higher glucose levels. Therefore, higher glucose values may indicate a higher likelihood of having diabetes.

2. **Lower Glucose levels**: Conversely, lower glucose levels may suggest a lower likelihood of having diabetes.

Now, let's create a dictionary with typical Glucose values for each target class:

```json
{
	"yes": [180.0, 200.0, 220.0, 240.0, 260.0],
	"no": [80.0, 90.0, 100.0, 110.0, 120.0]
}
```

In this dictionary, the "yes" class represents individuals with diabetes, and the "no" class represents individuals without diabetes. The Glucose values provided are just examples and may not be accurate or exhaustive.