Based on prior knowledge, we can analyze the relationship between the feature "duration" and the task of determining whether a client subscribes to a term deposit.

The duration represents the last contact duration in seconds. It is important to note that a longer duration of contact may indicate a higher level of engagement with the client, which could potentially increase the likelihood of them subscribing to a term deposit. However, it is also possible that a longer duration may indicate unsuccessful attempts to convince the client to subscribe, resulting in a lower likelihood of subscription.

To analyze this relationship, we can consider typical duration values for clients who did not subscribe to a term deposit ('no') and those who did subscribe ('yes').

Based on the analysis, the following dictionary can be generated:

```json
{
	"no": [10.0, 15.0, 30.0, 5.0, 20.0],
	"yes": [120.0, 180.0, 300.0, 240.0, 200.0]
}
```

In this dictionary, the key "no" represents clients who did not subscribe to a term deposit, and the associated list contains typical duration values for this target class. Similarly, the key "yes" represents clients who subscribed, with corresponding duration values.

Please note that the provided values are just examples and may not reflect the actual relationship between duration and the target variable. It is important to conduct a more in-depth analysis with real data to obtain accurate results.