Based on prior knowledge and common medical understanding, the feature "Pregnancies" can be related to the target variable "Does this person have diabetes?" in the following way:

Analysis:
- It is generally observed that women who have had a greater number of pregnancies are at a higher risk of developing diabetes.
- However, it is important to note that pregnancy itself does not cause diabetes, but it may reveal pre-existing or latent diabetes.
- Although the relationship between the number of pregnancies and diabetes risk is not linear, there is an increasing trend.
- Women who have never been pregnant (Pregnancies = 0) can still develop diabetes due to various factors like genetics, lifestyle, and other health conditions.

Based on this analysis, the dictionary with the possible values of the "Pregnancies" feature for each target class can be generated as follows:

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

Note: The chosen values for each target class represent possible typical values and should not be considered as an exhaustive list.