Based on prior knowledge, it is expected that the presence of Incomplete LBBB on ECG at the time of admission to the hospital (n_p_ecg_p_09) may be indicative of myocardial infarction complications leading to chronic heart failure. 

To analyze the relationship between the feature and target variable, we need to compare the values of n_p_ecg_p_09 for the two target classes ("no" and "yes") in the myocardial infarction complications data.

Here is the analysis:

- For the target class "no" (no chronic heart failure), the possible values of n_p_ecg_p_09 are:
  - no

- For the target class "yes" (chronic heart failure), the possible values of n_p_ecg_p_09 are:
  - no
  - yes

Based on this analysis, we can create the dictionary:

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

This dictionary presents the possible values of n_p_ecg_p_09 for each target class in the myocardial infarction complications data.