Based on prior knowledge, the credit history of an individual is likely to have an impact on whether they receive credit or not. Let's analyze the relationship between the feature "credit_history" and the target variable "Does this person receive a credit?". We can create a dictionary to summarize the relationship.

Here is the dictionary:

```json
{
	"yes": ["existing paid", "no credits/all paid"],
	"no": ["critical/other existing credit", "delayed previously"]
}
```

Explanation:
- Individuals with a credit history of "existing paid" or "no credits/all paid" are more likely to receive credit. 
- Individuals with a credit history of "critical/other existing credit" or "delayed previously" are less likely to receive credit.

Please note that this analysis is based on general knowledge and assumptions. The actual relationship between the feature and target variable may vary depending on the specific dataset and context.