Based on prior knowledge, we can analyze the relationship between the feature "Pregnancies" and the task of determining if a person has diabetes or not.

Analysis:
- In general, the number of pregnancies could potentially have a relationship with the likelihood of having diabetes.
- It is commonly observed that a higher number of pregnancies can be associated with an increased risk of developing gestational diabetes. Therefore, it is expected that individuals with more pregnancies may have a higher probability of having diabetes.
- Conversely, the absence of pregnancies (i.e., 0 pregnancies) is not a conclusive indication of not having diabetes since diabetes can occur in individuals regardless of their pregnancy history.

Based on this analysis, we can now generate the requested dictionary with specific details:

```json
{
	"yes": [2.0, 5.0, 7.0, 10.0, 13.0],
	"no": [0.0, 1.0, 3.0, 4.0, 6.0]
}
```

This dictionary suggests possible values of the "Pregnancies" feature for the target classes "yes" (person has diabetes) and "no" (person does not have diabetes). These values are provided as float numbers.