To analyze the relationship between the feature "Insulin" and the task of determining whether a person has diabetes or not, we will consider the normal range of insulin levels in a person without diabetes and compare it to the insulin levels in individuals with diabetes.

Typically, a person without diabetes would have fasting insulin levels between 3 and 30 μU/mL. Therefore, we would expect lower insulin values in the "no" class. On the other hand, individuals with diabetes may have elevated insulin levels due to insulin resistance or impaired insulin secretion. So, we would expect higher insulin values in the "yes" class.

Based on this understanding, we can create a dictionary with typical insulin values for each target class:

```json
{
    "yes": [150.0, 180.0, 200.0, 250.0, 300.0],
    "no": [10.0, 15.0, 20.0, 25.0, 28.0]
}
```

Please note that these values are just examples and might not represent the actual values in a given dataset. The range of values can vary depending on the dataset, population, and context.