Based on prior knowledge, the ECG rhythm at the time of admission to the hospital (ritm_ecg_p_02) can provide insights into the presence of chronic heart failure.

To analyze the relationship between the feature and the task, we need to examine the distribution of ritm_ecg_p_02 values for both the "no" and "yes" classes of chronic heart failure.

Here is the dictionary with the analysis:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

Explanation:
- For the "no" class (chronic heart failure not present), the only possible value for ritm_ecg_p_02 is "no".
- For the "yes" class (chronic heart failure present), the only possible value for ritm_ecg_p_02 is "yes".

Since there are no other possible values for ritm_ecg_p_02, the lists contain only the respective values for each class. This indicates a strong relationship between the feature and the target variable, as there is a clear distinction between the two classes based on the feature value.