Based on prior knowledge on diabetes, we can analyze the relationship between the feature "Pregnancies" and whether a person has diabetes or not (the target).

Possible analysis:

- People with higher number of pregnancies may have an increased risk of developing diabetes. Therefore, we can expect to see higher values of "Pregnancies" for individuals with diabetes compared to those without diabetes.

- However, it is important to note that having a lower number of pregnancies does not necessarily mean that a person does not have diabetes. There could be other factors that contribute to the development of diabetes.

Based on this analysis, we can create the dictionary:

```json
{
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0],
	"no": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

Here, we have included 5 typical values for "Pregnancies" for each target class "yes" and "no". These values are just examples and may not represent the exact distribution of pregnancies for people with and without diabetes.