Based on prior knowledge, it is expected that the feature "n_r_ecg_p_03" (ventricular contractions on ECG at the time of admission to the hospital) could potentially be related to the presence of chronic heart failure in the patient.

To analyze the relationship between the feature and the presence of chronic heart failure, we can compare the values of the feature for patients with and without chronic heart failure.

Let's assume the following sample data:

| n_r_ecg_p_03 | chronic_heart_failure |
|--------------|-----------------------|
| no           | yes                   |
| yes          | yes                   |
| no           | no                    |
| yes          | no                    |
| no           | no                    |

From this sample data, we can observe the following relationship:

- For patients with chronic heart failure, the values of "n_r_ecg_p_03" are ['no', 'yes'].

- For patients without chronic heart failure, the values of "n_r_ecg_p_03" are ['no'].

Based on this analysis, we can create a dictionary with the format requested:

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

Please note that this is a simplified example, and in a real-world scenario, a more comprehensive analysis using a larger dataset would be required to draw accurate conclusions.