Based on prior knowledge, it is difficult to determine a direct relationship between the "property_magnitude" feature and whether a person receives credit or not. However, we can still analyze the distribution of property magnitudes for both the "yes" and "no" classes to see if any patterns emerge.

To analyze the relationship, we can calculate the percentage of each property magnitude category for the "yes" and "no" classes separately.

Based on the analysis, the following dictionary can be generated:

```json
{
    "yes": ["real estate", "life insurance", "no known property", "car"],
    "no": ["real estate", "life insurance", "no known property", "car"]
}
```

Note that all possible values of the "property_magnitude" feature are included in both the "yes" and "no" classes, indicating that no specific property magnitude category can be completely ruled out as a predictor for whether a person receives credit or not.

However, the distribution of property magnitudes may vary for different datasets and a more detailed analysis considering other factors may be necessary in a real-world scenario.