Based on prior knowledge, we know that insulin is a hormone that helps regulate blood sugar levels. In people with diabetes, their body either does not produce enough insulin or does not effectively use the insulin produced. 

To analyze the relationship between the Insulin feature and the task of determining if a person has diabetes, we can look at the typical insulin levels for both the "yes" (diabetes) and "no" (no diabetes) classes. Let's assume that the feature values are in the range of 0 to 200, with higher values indicating higher insulin levels.

Based on this information, we can create a dictionary with the desired format:

```json
{
	"yes": [150.0, 180.0, 190.0, 200.0, 160.0],
	"no": [80.0, 90.0, 100.0, 70.0, 120.0]
}
```

In this example, we included 5 typical insulin values for each target class. For the "yes" class (people with diabetes), the insulin values range from 150.0 to 200.0. For the "no" class (people without diabetes), the insulin values range from 70.0 to 120.0. 

Please note that these are just hypothetical values for demonstration purposes, and further analysis may be required using actual data to determine the appropriate ranges of insulin values for each target class.