Based on prior knowledge, BMI is often considered as an indicator of whether someone is at a healthy weight or if they may be overweight or obese. In terms of the relationship between BMI and diabetes, research has shown that there is a strong relationship between higher BMI values and the risk of developing diabetes.

To analyze the relationship further, we can create two groups based on whether the person has diabetes or not ('yes' or 'no'). We will then identify typical ranges of BMI values for each group.

Here is the dictionary generated based on this analysis:

```json
{
	"yes": [24.5, 26.8, 28.3, 33.6, 36.9],
	"no": [20.2, 22.7, 23.9, 25.1, 27.4]
}
```

The five typical BMI values for the 'yes' group (people with diabetes) are: 24.5, 26.8, 28.3, 33.6, 36.9. These values suggest that individuals with higher BMI values are more likely to have diabetes.

The five typical BMI values for the 'no' group (people without diabetes) are: 20.2, 22.7, 23.9, 25.1, 27.4. These values suggest that individuals with lower BMI values are less likely to have diabetes.

It's important to note that these values are derived from analysis based on prior knowledge and could vary depending on the specific dataset being used.