Based on prior knowledge, we can analyze the relationship between the feature "duration" and the target variable "Does this client subscribe to a term deposit?"

Here is the analysis and resulting dictionary:

```json
{
	"no": [0.0, 5.0, 10.0, 15.0, 20.0],
	"yes": [100.0, 200.0, 300.0, 400.0, 500.0]
}
```

The above dictionary suggests that for the "no" class (client did not subscribe to a term deposit), some possible values of the feature "duration" could be 0.0, 5.0, 10.0, 15.0, and 20.0 (in seconds). On the other hand, for the "yes" class (client did subscribe to a term deposit), some possible values of the feature "duration" could be 100.0, 200.0, 300.0, 400.0, and 500.0 (in seconds). These durations are provided as floating-point values.