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

Skin thickness is generally considered as an indicator of body fat distribution, which can be influenced by various factors such as genetics, age, gender, and lifestyle. In the context of diabetes, an abnormal skin thickness might be related to insulin resistance or metabolic disorders. However, it is crucial to note that skin thickness alone may not be a definitive indicator of diabetes, as there are other more reliable metrics for diagnosis.

To generate the requested dictionary, I will provide five typical SkinThickness values for each target class ('yes', 'no').

```json
{
	"yes": [40.0, 50.0, 45.0, 55.0, 42.0],
	"no": [30.0, 35.0, 25.0, 38.0, 32.0]
}
```