To analyze the relationship between the feature `property_magnitude` and the target variable `Does this person receive a credit?`, we can compare the distribution of `property_magnitude` for the target classes 'yes' and 'no'. 

From the given feature description, `property_magnitude` is a categorical variable with four possible categories: 'real estate', 'life insurance', 'no known property', and 'car'. 

To generate the desired dictionary, we need to determine the possible values of `property_magnitude` for the target class 'yes' and 'no'.

Here's the analysis and resulting dictionary:

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

Explanation:
- For the target class 'yes', the possible values of `property_magnitude` are 'real estate' and 'no known property'.
- For the target class 'no', the possible values of `property_magnitude` are 'life insurance' and 'car'.

Note: We exclude the 'car' category from the 'yes' class and the 'real estate' category from the 'no' class since they are not present in either category.