Based on the given feature description and task, we need to analyze the relationship between the feature personal_status and the target variable of whether the person receives credit or not.

From the feature description, we can infer that personal_status is a categorical variable with the following categories: 
- male single
- female div/dep/mar
- male div/sep
- male mar/wid

To analyze the relationship, we can examine the distribution of these categories among the target variable classes (yes and no).

Below is the analysis of the relationship between personal_status and the target variable:
- For the target class "yes" (person receives credit), the possible values of personal_status are: ['male single', 'female div/dep/mar']
- For the target class "no" (person does not receive credit), the possible values of personal_status are: ['male div/sep', 'male mar/wid']

Based on this analysis, we can construct the dictionary as follows:

```json
{
	"yes": ["male single", "female div/dep/mar"],
	"no": ["male div/sep", "male mar/wid"]
}
```

Please note that the list of each target class is not empty, as required.