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

1. BMI and diabetes have a positive correlation, meaning that as BMI increases, the likelihood of having diabetes also increases.
2. It is generally accepted that individuals with a BMI value above 30 are classified as obese, and obesity is a known risk factor for developing diabetes.
3. Individuals with a BMI value below 18.5 are considered underweight, and they are less likely to have diabetes as compared to individuals with normal or higher BMI values.

Based on this analysis, the dictionary can be generated as follows:

```json
{
	"yes": [25.0, 31.5, 35.2, 37.6, 40.8], 
	"no": [18.3, 20.7, 24.6, 27.9, 29.1]
}
```

In this example, I have included 5 typical BMI values for each target class ('yes', 'no'). The BMI values for the 'yes' class are higher, reflecting a positive correlation between high BMI and the presence of diabetes. Conversely, the BMI values for the 'no' class are lower, indicating a lower likelihood of having diabetes.