Based on prior knowledge, the glucose levels for individuals with diabetes (target class 'yes') tend to be higher compared to those without diabetes (target class 'no'). To analyze the relationship between the feature 'Glucose' and the target variable 'Does this person have diabetes?', we can divide the feature values into two groups: one for individuals with diabetes ('yes') and another for individuals without diabetes ('no').

Here's the dictionary with the appropriate details:

```json
{
	"yes": [180.0, 200.0, 190.0, 250.0, 220.0],
	"no": [80.0, 90.0, 100.0, 95.0, 75.0]
}
```

The values in the `"yes"` list represent possible glucose values for individuals with diabetes, and the values in the `"no"` list represent possible glucose values for individuals without diabetes. Note that these values are only examples and may not accurately reflect the actual ranges for glucose levels in the given context.