Based on prior knowledge, the serum insulin level can be an important factor in determining whether a person has diabetes or not. Let's analyze the relationship between the feature "Insulin" and the task of determining if a person has diabetes.

To do this, we would ideally have a dataset with labeled instances indicating whether each person has diabetes or not and their corresponding insulin levels. Using this dataset, we can examine the distribution of insulin levels among people with and without diabetes to identify any patterns or thresholds.

In the absence of a specific dataset, I can provide some general information based on prior knowledge:

- Typically, normal fasting serum insulin levels range from 5 to 15 µU/ml. Values below 5 µU/ml are generally considered low. Therefore, an insulin level between 5 and 15 µU/ml may indicate a person without diabetes.
- In individuals with diabetes, the insulin levels can vary significantly. Some common ranges are 16-166 µU/ml for prediabetes and 200-599 µU/ml for type 2 diabetes. Insulin levels above 600 µU/ml may indicate severe insulin resistance or type 1 diabetes.
- However, it's important to note that these ranges are approximate and individual cases can vary. Diagnosis of diabetes requires further medical evaluation and should not be solely based on serum insulin levels.

Based on this information, let's create the requested dictionary:

```json
{
  "yes": [16.0, 50.0, 100.0, 300.0, 600.0],
  "no": [10.0, 12.0, 14.0, 8.0, 6.0]
}
```

Please note that the provided values in the dictionary are for illustrative purposes only and should not be used for diagnosis without proper medical consultation.