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

To do this analysis, we can refer to medical research and literature that provide insights into the relationship between skin fold thickness and diabetes. Typically, individuals with diabetes tend to have higher skin fold thickness measurements compared to those without diabetes. However, the specific ranges of values may depend on the population being studied and other factors like age, sex, and body mass index (BMI).

Based on this analysis, we can create a dictionary with the possible values of the "SkinThickness" feature for each target class:

```json
{
	"yes": [30.5, 35.2, 40.1, 45.0, 50.2],
	"no": [20.1, 25.6, 28.9, 32.4, 37.0]
}
```

Please note that these values are just example figures and should not be considered as definitive or exhaustive. They are meant to provide a general idea of the range of values that may be associated with each target class.