Based on my prior knowledge, I can analyze how age relates to whether a client subscribes to a term deposit or not. Here is the analysis:

- Generally, younger individuals might be less likely to subscribe to a term deposit as they may have higher expenses and financial commitments.
- On the other hand, older individuals might be more likely to subscribe to a term deposit as they may have more disposable income and a greater interest in saving.

Based on this analysis, I will create a dictionary with possible values of feature age for each target class:

```json
{
	"no": [20.0, 30.0, 35.0, 40.0, 45.0],
	"yes": [50.0, 55.0, 60.0, 65.0, 70.0]
}
```

Note: These values are just examples and may not accurately represent the actual data.