Based on prior knowledge, the relationship between age and the likelihood of having diabetes can vary. However, it is generally known that the risk of developing diabetes tends to increase with age. 

Here is the analysis and dictionary for the given feature "Age" and task "Does this person have diabetes?".

```json
{
	"yes": [40.5, 50.2, 58.7, 65.3, 70.9],
	"no": [25.1, 32.4, 45.9, 55.6, 62.8]
}
```

In this case, for the target class "yes" (indicating the person has diabetes), some possible age values could be 40.5, 50.2, 58.7, 65.3, and 70.9. For the target class "no" (indicating the person does not have diabetes), some possible age values could be 25.1, 32.4, 45.9, 55.6, and 62.8.

Please note that these values are just examples and may not represent the actual dataset. It is recommended to perform a thorough analysis using real data to determine the appropriate ranges of values for the "Age" feature.