Based on prior knowledge, higher values of skin thickness may be associated with an increased likelihood of having diabetes. However, it is important to conduct a thorough analysis to validate this assumption.

To analyze the relationship between the feature SkinThickness and the task of whether a person has diabetes or not, we can examine the distribution of SkinThickness values for each target class ('yes' and 'no').

Here is a dictionary that presents the analysis:

```json
{
	"yes": [35.0, 40.0, 45.0, 50.0, 55.0],  
	"no": [10.0, 15.0, 20.0, 25.0, 30.0]  
}
```

Note: The values provided in the dictionary are examples and may not be representative of the actual data. It is recommended to perform a comprehensive analysis using the dataset to obtain accurate results.