Based on my prior knowledge, I can analyze the relationship between the feature "duration" (last contact duration in seconds) and the task of determining whether a client subscribes to a term deposit or not.

In order to do so, I will examine typical values of the "duration" feature for each target class ('no' and 'yes').

For the 'no' class (clients who do not subscribe to a term deposit), the typical values of the "duration" feature could be:

- 0.0 seconds: Some clients may have had no previous contact or very brief contact, resulting in a duration of 0 seconds.
- 5.0 seconds: A short duration may indicate a quick conversation that did not convince the client to subscribe.
- 30.0 seconds: A moderately longer duration may suggest some engagement in the conversation but not enough to proceed with subscribing.
- 60.0 seconds: One minute may represent a relatively standard duration for initial contact, but it may still not lead to a subscription.
- 120.0 seconds: An even longer duration could indicate a more substantial conversation, but it may still not result in a subscription.

For the 'yes' class (clients who do subscribe to a term deposit), the typical values of the "duration" feature could be:

- 180.0 seconds: Clients who eventually subscribe to a term deposit may require a longer conversation to be convinced.
- 300.0 seconds: A duration of 5 minutes may suggest a client's interest and willingness to engage further.
- 600.0 seconds: A duration of 10 minutes might indicate a thorough conversation and a high likelihood of subscribing.
- 900.0 seconds: A longer duration, such as 15 minutes, may suggest substantial interest and a higher probability of subscription.
- 1800.0 seconds: A duration of 30 minutes or more could indicate a client's strong intent to subscribe and a productive conversation.

Based on this analysis, the corresponding dictionary would be:

```json
{
    "no": [0.0, 5.0, 30.0, 60.0, 120.0],
    "yes": [180.0, 300.0, 600.0, 900.0, 1800.0]
}
```