To analyze the relationship between the feature `SkinThickness` and the target variable of whether a person has diabetes or not, we can consider our prior knowledge on diabetes and its associated symptoms.

Generally, individuals with diabetes may experience changes in their skin thickness due to various factors such as poor blood circulation, high blood glucose levels, and impaired collagen synthesis. 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 relevant features.

Based on this analysis, we can create a dictionary with 5 typical `SkinThickness` values for each target class 'yes' and 'no':

```json
{
    "yes": [35.0, 45.0, 55.0, 65.0, 75.0],
    "no": [20.0, 30.0, 40.0, 50.0, 60.0]
}
```

Please note that the values provided are just examples and are not universally applicable. Actual data and further analysis would be needed to accurately assess the relationship between `SkinThickness` and the target variable.