Based on prior knowledge, high blood pressure is a risk factor for developing diabetes. Therefore, we can expect that individuals with high blood pressure may have a higher likelihood of having diabetes (target class 'yes').

Here is a dictionary analyzing the relationship between the BloodPressure feature and the likelihood of having diabetes:

```json
{
  "yes": [80.0, 88.0, 92.0, 86.0, 94.0],
  "no": [60.0, 68.0, 72.0, 64.0, 70.0]
}
```

In this dictionary, the "yes" key represents individuals who have diabetes (target class 'yes'), and the "no" key represents individuals who do not have diabetes (target class 'no'). The values corresponding to each key are representative BloodPressure values that are likely to be associated with diabetes ('yes') or the absence of diabetes ('no').

Please note that the specific values provided in the dictionary are just examples and should not be considered definitive or exhaustive. For an accurate analysis, a comprehensive dataset would be needed.