Based on prior knowledge, we can analyze the relationship between the SkinThickness feature and the target variable "Does this person have diabetes?". 

Analysis:

SkinThickness is a measure of the triceps skin fold thickness, which is the measurement of fat under the skin. Higher values of SkinThickness may indicate higher fat content in the body, which can be a risk factor for diabetes. However, it is important to note that a high SkinThickness does not necessarily mean a person has diabetes, as it can also be influenced by other factors such as age, gender, and overall body composition.

To better understand the relationship between SkinThickness and diabetes, we can analyze the feature values for each target class ('yes' and 'no'):

For target class 'yes' (person has diabetes):
- SkinThickness values within the range of [35-45] are common for people with diabetes.
- Other possible SkinThickness values for this class can be [30, 50, 55, 60].

For target class 'no' (person does not have diabetes):
- SkinThickness values within the range of [20-30] are common for people without diabetes.
- Other possible SkinThickness values for this class can be [15, 40, 45, 50].

Based on this analysis, we can create the following dictionary:

```json
{
	"yes": [35.0, 36.0, 37.0, 38.0, 39.0],
	"no": [20.0, 21.0, 22.0, 23.0, 24.0]
}
```
This dictionary lists 5 typical SkinThickness values for each target class.