Based on prior knowledge, I can analyze the relationship between BMI and the presence of diabetes:

- BMI is a measure of body fat based on weight and height. Higher BMI values generally indicate a higher level of body fat.
- There is a known correlation between high BMI and the risk of developing diabetes.
- Individuals with a BMI above a certain threshold (e.g., 30) are categorized as obese and are at a higher risk of having diabetes.
- However, having a high BMI alone does not necessarily mean someone has diabetes, as other factors such as genetics and lifestyle also play a role.

Based on this analysis, I can create a dictionary with typical BMI values for each target class:

```json
{
    "yes": [35.0, 40.5, 42.7, 39.2, 38.1],
    "no": [22.2, 24.8, 23.6, 26.1, 20.9]
}
```

Please note that these values are just examples and should be interpreted as possible BMI values for individuals in each target class. It is important to conduct a thorough analysis on a specific dataset to obtain more accurate and representative values for the task at hand.