Based on prior knowledge, we can analyze the relationship between the feature "age" and the task "Does this client subscribe to a term deposit?". Here are some possible assumptions:
- Younger people might be less likely to subscribe to a term deposit, as they could have a lower financial stability or different financial priorities.
- Middle-aged individuals might be more likely to subscribe to a term deposit, as they might have more stable incomes and be more focused on long-term financial planning.
- Older people might have a higher likelihood of subscribing to a term deposit, as they could have retired and have a higher need for financial security.

Based on these assumptions, let's create the dictionary:

```json
{
	"no": [20.0, 25.0, 30.0, 35.0, 40.0],
	"yes": [45.0, 50.0, 55.0, 60.0, 65.0]
}
```

Please note that these values are just examples and are not definitive. The actual ranges and values will depend on the specific dataset and analysis performed.