Based on prior knowledge, we can analyze the relationship between the feature "n_r_ecg_p_04" (Frequent premature ventricular contractions on ECG at the time of admission to the hospital) and the task of determining whether the patient has chronic heart failure.

To analyze this relationship, we need to examine the values of the feature for the target class 'yes' (indicating chronic heart failure) and the target class 'no' (indicating no chronic heart failure).

Here is an analysis of the relationship:

- For target class 'no' (no chronic heart failure):
  - Possible values of feature "n_r_ecg_p_04" for target class 'no': ['yes', 'no']

- For target class 'yes' (chronic heart failure):
  - Possible values of feature "n_r_ecg_p_04" for target class 'yes': ['yes', 'no']

Based on this analysis, the dictionary representing the relationship between the feature "n_r_ecg_p_04" and the target variable is as follows:

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

Please note that both target class 'yes' and target class 'no' have the same possible values for the feature "n_r_ecg_p_04".