Based on prior knowledge, the feature "Age" can potentially have a relationship with the target variable "Does this person have diabetes?" It is expected that certain age ranges may be more prone to diabetes than others. 

Based on this analysis, here is the requested dictionary:

```json
{
	"yes": [40.5, 55.2, 47.8, 64.1, 50.3],
	"no": [25.9, 31.4, 35.2, 42.6, 28.3]
}
```

The values provided in the dictionary are just examples of typical or possible age values for each target class ("yes" and "no"). These values are floats and represent age values (in years) that are associated with each target class.