Based on prior knowledge, I can analyze the relationship between the Insulin feature and the task of determining whether a person has diabetes or not.

Insulin is a hormone that regulates blood sugar levels. In a person without diabetes, insulin levels remain within a certain range throughout the day. However, in a person with diabetes, insulin levels may be either too high or too low.

Considering this information, I can hypothesize that for the task of determining whether a person has diabetes or not, the Insulin feature will have different ranges of values for the "yes" and "no" classes.

Based on this analysis, I can now create a dictionary with the required information:

```json
{
	"yes": [10.0, 15.0, 20.0, 25.0, 30.0],
	"no": [5.0, 7.0, 12.0, 18.0, 22.0]
}
```

In the dictionary above, I have included 5 typical values of the Insulin feature for each target class ("yes" and "no"). These values are arbitrary and should be interpreted as examples rather than exact ranges.