Based on prior knowledge, it is difficult to directly determine the relationship between the feature fibr_ter_02 and the presence of chronic heart failure. However, we can still analyze the relationship by observing the distribution of fibr_ter_02 values for each target class.

To determine the relationship between fibr_ter_02 and chronic heart failure, we can analyze the distribution of feature values for each target class. For this analysis, we will consider the categories 'no' and 'yes' for the target class.

Here is the dictionary with possible values of feature fibr_ter_02 for each target class:

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

Please note that since we don't have any specific knowledge about the feature fibr_ter_02 and its relationship with chronic heart failure, we cannot exclude any particular values. Therefore, we consider all possible values for the feature in both target classes.