Based on prior knowledge and experience, the relationship between BMI and the likelihood of having diabetes can be analyzed. Generally, there is a positive correlation between BMI and the risk of diabetes. Higher BMI values tend to indicate a higher risk of diabetes.

To complete the task and generate the dictionary, we need to categorize BMI ranges for both the "yes" and "no" target classes. The following BMI ranges are commonly used:

BMI ranges for the "yes" class (person has diabetes):
- Below 18.5: Underweight (low risk)
- 18.5 to 24.9: Normal weight (low risk)
- 25 to 29.9: Overweight (moderate risk)
- 30 to 34.9: Class I Obesity (high risk)
- Above 35: Class II and III Obesity (very high risk)

BMI ranges for the "no" class (person does not have diabetes):
- Below 18.5: Underweight (low risk)
- 18.5 to 24.9: Normal weight (low risk)
- 25 to 29.9: Overweight (low risk)
- 30 to 34.9: Class I Obesity (moderate risk)
- Above 35: Class II and III Obesity (high risk)

Based on these ranges, let's generate the dictionary:

```json
{
	"yes": [18.5, 24.9, 28.5, 32.2, 36.7],
	"no": [18.1, 24.3, 28.9, 33.4, 37.2]
}
```

Please note that the BMI values provided in the dictionary are examples and may not represent exact thresholds for determining the risk of diabetes.