Analyzing the relationship between the feature "Glucose" and the task of determining whether a person has diabetes or not, we can use prior knowledge to determine appropriate ranges of values.

Generally, higher glucose levels are associated with an increased risk of diabetes. According to the American Diabetes Association, a fasting blood glucose level of 126 mg/dL (7.0 mmol/L) or higher indicates diabetes. Therefore, we can consider values above or equal to 126 mg/dL as an indicator of diabetes. 

Based on this analysis, we can create a dictionary with the requested format:

```json
{
	"yes": [140.0, 156.0, 175.0, 190.0, 200.0], 
	"no": [80.0, 95.0, 110.0, 120.0, 135.0]
}
```

This dictionary suggests that for a target class of "yes" (indicating a person with diabetes), typical glucose values might include 140.0, 156.0, 175.0, 190.0, and 200.0. On the other hand, for a target class of "no" (indicating a person without diabetes), typical glucose values might include 80.0, 95.0, 110.0, 120.0, and 135.0.