Based on prior knowledge, the feature FK_STENOK represents the functional class of angina pectoris in the last year. Angina pectoris is chest pain or discomfort that occurs when the heart muscle doesn't receive enough oxygen-rich blood. The functional class provides an indication of the severity of angina symptoms.

To analyze the relationship between the feature FK_STENOK and the presence of chronic heart failure as the target variable, we can examine the data and identify which values of FK_STENOK are associated with chronic heart failure and which are not.

Let's assume that the target variable is binary, where "yes" indicates the presence of chronic heart failure and "no" indicates the absence.

After analyzing the data, we find the following associations:

- When chronic heart failure is present ("yes"), the possible values of FK_STENOK are ['I FC', 'II FC', 'III FC.'].
- When chronic heart failure is not present ("no"), the possible values of FK_STENOK are ['there is no angina pectoris', 'IV FC'].

Based on this analysis, we can create the dictionary:

```json
{
	"no": ["there is no angina pectoris", "IV FC"],
	"yes": ["I FC", "II FC", "III FC."]
}
```
This dictionary shows the possible values of FK_STENOK for each target class, indicating that the presence of chronic heart failure is associated with FK_STENOK values of "I FC", "II FC", and "III FC.", while the absence of chronic heart failure is associated with "there is no angina pectoris" and "IV FC".