Based on prior knowledge, plasma glucose concentration levels are a key indicator in determining if someone has diabetes. Typically, higher glucose levels indicate a higher likelihood of having diabetes.

To analyze the relationship between the feature "Glucose" and the task "Does this person have diabetes?", we can divide the feature values into two groups: those associated with the target class "yes" (indicating that the person has diabetes) and those associated with the target class "no" (indicating that the person does not have diabetes).

Here's the dictionary with the typical Glucose values for each target class:

```json
{
	"yes": [180.0, 200.0, 220.0, 240.0, 260.0],
	"no": [100.0, 110.0, 120.0, 130.0, 140.0]
}
```

These values are just examples and should not be considered as definitive thresholds for determining diabetes status. The actual ranges may vary depending on the specific dataset and domain knowledge.