Based on prior knowledge, we can analyze the relationship between age and diabetes. It is commonly known that age is a risk factor for diabetes, with the risk increasing as age advances. However, it is important to note that diabetes can occur at any age, so there will also be cases of diabetes in younger individuals.

To create the dictionary, we will consider five typical age values for each target class ('yes' and 'no'):

```json
{
	"yes": [50.5, 55.2, 60.1, 65.7, 70.3],
	"no": [30.8, 35.4, 40.2, 45.1, 49.6]
}
```

These age values are just examples and can vary depending on the specific dataset and its characteristics.