Based on prior knowledge, it is known that the skin fold thickness can vary depending on the individual's overall health, body composition, and other factors. Higher skin fold thickness values are often associated with obesity and insulin resistance, which are risk factors for diabetes. However, it is important to note that skin fold thickness alone may not be sufficient to accurately determine the presence or absence of diabetes. 

To analyze the relationship between the SkinThickness feature and the presence of diabetes, we can look at the distribution of SkinThickness values for both the "yes" and "no" classes.

Here is the dictionary with typical SkinThickness values for each target class:

```json
{
	"yes": [35.0, 39.0, 42.0, 45.0, 50.0],
	"no": [20.0, 25.0, 28.0, 30.0, 32.0]
}
```

Please note that these values are just examples and may not be representative of the complete distribution. A more comprehensive analysis would involve examining the entire range of SkinThickness values and their relationship with the diabetes target variable.