Based on prior knowledge, I will analyze the relationship between the feature "ROE" (Erythrocyte sedimentation rate) and the task of determining whether the patient has chronic heart failure.

To analyze this relationship, we can compare the ROE values for patients with chronic heart failure (yes) and those without chronic heart failure (no). Generally, a higher Erythrocyte sedimentation rate (ROE) is associated with inflammation or infection. In the case of chronic heart failure, if the inflammation or infection affects the cardiovascular system, it could potentially lead to higher ROE values.

Now, I will provide a dictionary with the required format, including 5 typical ROE values for each target class of ['no', 'yes'].

```json
{
	"no": [10.4, 12.7, 11.9, 9.5, 8.2],
	"yes": [15.3, 16.8, 14.6, 12.1, 11.7]
}
```

Please note that the provided ROE values are just hypothetical examples and should not be considered as accurate or representative of any specific dataset.