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

Analysis:

1. Age might be a significant feature in determining whether a person receives credit or not. Younger individuals might have a harder time getting credit compared to older individuals who have established credit histories.

2. Typically, individuals in their late teens or early twenties may be less likely to have a credit history or sufficient income to qualify for credit, resulting in a lower chance of receiving credit.

3. On the other hand, individuals in their mid to late thirties or forties might have stable employment and a good credit history, potentially resulting in a higher chance of receiving credit.

4. It is also possible that older adults in their sixties or seventies may face challenges in obtaining credit due to retirement or reduced income, resulting in a lower chance of receiving credit.

Based on this analysis, we can create the following dictionary:

```json
{
    "yes": [25.0, 30.5, 41.2, 35.7, 45.9],
    "no": [19.3, 21.8, 18.6, 20.9, 24.1]
}
```

Please note that the values provided are arbitrary and for illustrative purposes only.