Based on prior knowledge, I can analyze the relationship between the age feature and the target variable (subscription to a term deposit). Here is the dictionary:

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

The dictionary includes 5 typical age values for each target class ('no' and 'yes'). For the 'no' target class, the possible age values are 30.0, 35.0, 40.0, 45.0, and 50.0. For the 'yes' target class, the possible age values are 25.0, 35.0, 45.0, 55.0, and 65.0.