Based on my prior knowledge, I can analyze the relationship between the feature "age" and the task of whether a client subscribes to a term deposit. 

Generally, older individuals may be more likely to subscribe to a term deposit compared to younger individuals. However, this relationship may not hold true for all cases. 

To create the dictionary with the specific details, I will include typical age values for each target class: 'no' (did not subscribe to a term deposit) and 'yes' (subscribed to a term deposit).

```json
{
	"no": [25.0, 30.0, 35.0, 40.0, 45.0],
	"yes": [45.0, 50.0, 55.0, 60.0, 65.0]
}
```

Please note that these age values are just examples and may vary based on the dataset and the specific target variable distribution.