Based on prior knowledge, higher levels of insulin are often associated with diabetes. However, since we do not have any specific information about the ranges of values for insulin, we cannot make any assumptions regarding the appropriate ranges.

To analyze the relationship between the feature "Insulin" and the task "Does this person have diabetes? Yes or no?", we need access to a dataset containing the feature and target variables. We can then calculate the average, median, or other statistical measures of the insulin levels for each target class to determine if there is a significant difference.

Without access to the data, we cannot perform a thorough analysis. But based on general knowledge, we can still provide a dictionary with example values for the feature "Insulin" for each target class:

```json
{
	"yes": [10.2, 15.1, 20.5, 30.7, 35.3],
	"no": [5.2, 8.7, 12.3, 18.6, 22.4]
}
```

Please note that these values are just examples and may not represent the actual distribution in the dataset. For a more accurate analysis and dictionary creation, we would need access to the dataset.