Based on prior knowledge, BMI can be used as a feature to determine the likelihood of a person having diabetes. Typically, individuals with higher BMI values are more likely to have diabetes. However, it is important to note that this relationship is not absolute and other factors should be taken into consideration as well.

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

Dictionary analysis for feature "BMI":

```json
{
	"yes": [30.5, 33.2, 36.8, 40.1, 42.7],
	"no": [22.1, 24.9, 26.7, 28.3, 29.8]
}
```

Explanation: 

- For the target class "yes" (persons with diabetes), five typical BMI values are [30.5, 33.2, 36.8, 40.1, 42.7].
- For the target class "no" (persons without diabetes), five typical BMI values are [22.1, 24.9, 26.7, 28.3, 29.8].

These values are just examples and are for illustrative purposes. The actual BMI values in these categories may vary depending on the dataset and the population being analyzed.

Please note that this analysis is based on general knowledge and it may be necessary to further evaluate the relationship between BMI and diabetes using statistical techniques and a representative dataset for more accurate conclusions.