Based on prior knowledge, it is known that age can be an important factor in determining whether someone has diabetes or not. To analyze the relationship between the feature 'Age' and the task of determining if a person has diabetes, we can examine typical age ranges for people with and without diabetes.

Using this analysis, we can create a dictionary with typical age values for each target class.

```json
{
	"yes": [40.5, 35.2, 47.8, 55.6, 60.0],
	"no": [30.2, 42.1, 38.7, 29.9, 33.5]
}
```

These values are just examples and it is important to note that the actual age ranges may vary depending on the dataset and the population being analyzed.