To analyze the relationship between the feature `fibr_ter_07` and the presence of chronic heart failure, we can examine the distribution of `fibr_ter_07` categories for each target class.

Here is an analysis of the relationship between the feature and the target:

- For target class "no" (no chronic heart failure):
  - Possible values of `fibr_ter_07`: ['no']
  
- For target class "yes" (chronic heart failure):
  - Possible values of `fibr_ter_07`: ['no', 'yes']

Based on the analysis, we can create the dictionary:

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

Note: The value 'no' is present in both target classes, but the value 'yes' is only present in the target class "yes" which represents chronic heart failure.