Based on prior knowledge, exercise-induced angina can be a strong indication of heart disease. Therefore, the relationship between the feature "ExerciseAngina" and the target variable "Does the coronary angiography show a heart disease?" can be analyzed as follows:

If the value of "ExerciseAngina" is "Y" (yes) for a patient, it is more likely that the coronary angiography will show a heart disease. Conversely, if the value of "ExerciseAngina" is "N" (no) for a patient, it is less likely that the coronary angiography will show a heart disease.

Based on this analysis, the dictionary can be created as follows:

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

Since the "ExerciseAngina" feature only has two possible values and both values are informative for the target variable, the dictionary includes both values in their respective target classes.