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

In general, the number of pregnancies a person has may have an impact on the likelihood of having diabetes. Higher numbers of pregnancies may indicate a higher risk of developing gestational diabetes. However, it's important to note that having a high number of pregnancies does not necessarily mean that a person will have diabetes.

To create the dictionary with the specified format, we need to identify typical values of "Pregnancies" for each target class.

```json
{
	"yes": [1.0, 3.0, 5.0, 7.0, 9.0],
	"no": [0.0, 2.0, 4.0, 6.0, 8.0]
}
```
In this dictionary, the values [1.0, 3.0, 5.0, 7.0, 9.0] represent typical values of "Pregnancies" for the target class "yes" (indicating a person with diabetes), while the values [0.0, 2.0, 4.0, 6.0, 8.0] represent typical values for the target class "no" (indicating a person without diabetes). Note that the values are presented as floats in the lists.