Based on prior knowledge, the relationship between BMI and the likelihood of having diabetes can be analyzed as follows:

Typically, higher BMI values are associated with an increased risk of diabetes. However, the specific ranges of BMI values that indicate a higher risk can vary depending on various factors such as age, gender, and ethnicity.

To create the dictionary, we need typical BMI values for both the "yes" (have diabetes) and "no" (do not have diabetes) target classes. Since the question does not provide any information on the dataset or the specific ranges, we will assume the following ranges as rough guidelines:

BMI Range for "Yes" (have diabetes):
- Below 18.5: Underweight
- 18.5 - 24.9: Normal weight
- 25 - 29.9: Overweight
- 30 - 34.9: Class I obesity
- Above 35: Class II or III obesity

BMI Range for "No" (do not have diabetes):
- Below 18.5: Underweight
- 18.5 - 24.9: Normal weight
- 25 - 29.9: Overweight
- 30 - 34.9: Class I obesity
- Above 35: Class II or III obesity

Based on these ranges, we can assign some typical BMI values to each target class:

```json
{
	"yes": [20.0, 27.5, 32.0, 37.5, 40.0],
	"no": [19.0, 22.5, 27.0, 31.5, 34.0]
}
```

Please note that these values are only hypothetical and need to be validated with real-world data for accurate analysis. The actual ranges and typical BMI values may vary depending on the dataset and population under consideration.