Based on prior knowledge, we can analyze the relationship between the age feature and the task of whether a person receives credit or not.

From a general standpoint, age can be a significant factor in determining credit eligibility. Generally, younger individuals may have limited credit history, lower income, or less financial stability, which can impact their creditworthiness. On the other hand, older individuals may have established credit history, higher income, and more financial stability, making them more likely to be eligible for credit.

To create the dictionary, we will include five typical age values for each target class ('yes' and 'no').

```json
{
    "yes": [25.0, 30.0, 35.0, 40.0, 45.0],
    "no": [18.0, 20.0, 22.0, 24.0, 26.0]
}
```
Please note that these age values are just examples and may vary depending on the specific dataset and context.