Based on prior knowledge, high levels of glucose in the blood are associated with diabetes. To analyze the relationship between the feature "Glucose" and the task of determining if a person has diabetes or not, we can consider the following:

1. Glucose Values for Target Class "Yes" (Diabetes):
   - Glucose values above a certain threshold (e.g., 140 mg/dL) are typically considered high, indicating a higher likelihood of diabetes. Here are five possible glucose values for the "yes" class:
     - 155.0
     - 176.5
     - 182.3
     - 148.9
     - 160.2

2. Glucose Values for Target Class "No" (No Diabetes):
   - Glucose values below or within a normal range (e.g., 70-140 mg/dL) are typically considered normal or low, indicating a lower likelihood of diabetes. Here are five possible glucose values for the "no" class:
     - 90.5
     - 105.8
     - 120.4
     - 132.6
     - 115.1

Based on the analysis, we can create the following dictionary:

```json
{
	"yes": [155.0, 176.5, 182.3, 148.9, 160.2],
	"no": [90.5, 105.8, 120.4, 132.6, 115.1]
}
```