Based on my prior knowledge, I will analyze the relationship between the Age feature and the task of determining whether a person has diabetes or not.

Here is the requested dictionary with specific details:

```json
{
  "yes": [50.0, 60.0, 55.0, 62.0, 45.0], 
  "no": [35.0, 40.0, 30.0, 38.0, 42.0]
}
```

In the "yes" category, the typical Age values for individuals with diabetes are 50, 60, 55, 62, and 45 years.
In the "no" category, the typical Age values for individuals without diabetes are 35, 40, 30, 38, and 42 years.

Please note that these values are just examples and might not reflect actual data. The specific values would depend on the dataset and the analysis performed on it.