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

Typically, a longer duration of the last contact with the client may indicate a higher level of engagement and potentially increase the likelihood of the client subscribing to a term deposit. Conversely, a shorter duration may suggest a lack of interest or engagement, leading to a lower likelihood of subscribing.

To generate the dictionary, we need to identify five typical duration values for each target class ('no' and 'yes').

```json
{
	"no": [101.0, 73.0, 86.0, 42.0, 91.0],
	"yes": [356.0, 206.0, 449.0, 265.0, 521.0]
}
```

Please note that these values are hypothetical and based on the assumption that a longer duration generally leads to a higher probability of subscribing. The actual values may vary and should be obtained from the dataset or domain-specific knowledge.