Based on prior knowledge, the skin thickness can be a potential indicator of diabetes. Those with diabetes may have higher skin thickness compared to those without diabetes. However, it is important to note that skin thickness alone may not be a definitive indicator of diabetes and should be considered in conjunction with other features and diagnostic tests.

To conduct the analysis, we can analyze the distribution of skin thickness values for both the 'yes' and 'no' classes of the target variable. By examining typical values for each class, we can gain insights into the relationship between skin thickness and the likelihood of diabetes.

Here is the dictionary containing typical skin thickness values for each target class:

```json
{
	"yes": [30.0, 33.0, 35.5, 38.2, 40.1],
	"no": [18.7, 22.4, 25.9, 27.6, 29.8]
}
```

Please note that these values are hypothetical and need to be replaced with actual data from the dataset or domain-specific knowledge. These values represent examples of typical skin thickness for each target class and should be used for illustrative purposes only.