Based on prior knowledge, the RestingECG feature is a measurement of the resting electrocardiogram results, which can have three categories: 'Normal', 'ST', and 'LVH'. To analyze how this feature relates to the task of determining if the coronary angiography shows a heart disease, we can examine the relationship between the RestingECG categories and the presence (yes) or absence (no) of heart disease.

It is important to note that without access to the specific dataset, it is not possible to provide accurate information on the relationship between RestingECG and the target variable. However, based on general knowledge, here is a possible analysis:

- 'Normal' RestingECG: This category typically indicates a normal electrocardiogram. In general, a normal RestingECG should have a lower likelihood of showing heart disease, so it might be associated more with the 'no' target class.

- 'ST' RestingECG: This category refers to ST-T wave abnormality, which can be a sign of ischemia or myocardial infarction. Thus, it is more likely to be associated with the 'yes' target class.

- 'LVH' RestingECG: This category represents left ventricular hypertrophy, which can be caused by various factors, including heart disease. LVH is generally associated with an increased risk of heart disease, so it might be more prevalent in the 'yes' target class.

Based on this analysis, the potential dictionary could be as follows:

```json
{
	"no": ["Normal"],
	"yes": ["ST", "LVH"]
}
```
Keep in mind that this is a hypothetical analysis, and the actual relationship between RestingECG categories and the presence of heart disease will depend on the specific dataset being analyzed.