Based on prior knowledge and medical research, there is a known association between glucose levels and diabetes. Specifically, individuals with diabetes tend to have higher glucose levels compared to those without diabetes. To analyze the relationship between the feature "Glucose" and the task of determining whether a person has diabetes, we can examine the distribution of glucose levels among individuals with and without diabetes.

To create the dictionary, we need to identify typical glucose values for each target class ('yes' and 'no'). Here is the analysis along with the generated dictionary:

```json
{
	"yes": [157.0, 190.0, 178.0, 167.0, 156.0],
	"no": [97.0, 88.0, 100.0, 94.0, 91.0]
}
```

The values in the "yes" list represent glucose levels of individuals diagnosed with diabetes, while the values in the "no" list represent glucose levels of individuals without diabetes. These values are approximate and may vary based on the specific dataset and population being studied.