Based on my prior knowledge, let's analyze the relationship between the feature "SkinThickness" and the task "Does this person have diabetes?".

SkinThickness is the measurement of the Triceps skin fold thickness in millimeters. A higher skin thickness may indicate a higher level of body fat, which can be a risk factor for developing diabetes. However, it is important to note that skin thickness alone may not be a strong predictor of diabetes. Other factors such as BMI (Body Mass Index), blood pressure, and glucose levels should also be considered for a more accurate prediction.

Now, let's create a dictionary with typical SkinThickness values for each target class:

```json
{
	"yes": [25.0, 30.0, 35.0, 40.0, 45.0],
	"no": [20.0, 15.0, 10.0, 5.0, 0.0]
}
```

Please note that these values are just examples and should be considered as approximate ranges. The actual values may vary depending on the dataset and specific analysis conducted.