Based on prior knowledge, the body mass index (BMI) is commonly used as an indicator of body fatness and is associated with various health conditions, including diabetes. A higher BMI is often linked to a higher risk of developing diabetes. 

Now let's analyze the relationship between BMI and the task of whether a person has diabetes or not. 

- For the 'yes' class (person has diabetes), typical BMI values may include: [25.0, 28.5, 31.2, 35.7, 39.1]
- For the 'no' class (person does not have diabetes), typical BMI values may include: [22.3, 24.8, 26.4, 29.1, 30.9]

Based on this analysis, the dictionary with the BMI values for each target class would be as follows:

```json
{
	"yes": [25.0, 28.5, 31.2, 35.7, 39.1],
	"no": [22.3, 24.8, 26.4, 29.1, 30.9]
}
```