Based on prior knowledge, the resting electrocardiogram (RestingECG) is a diagnostic test that measures the electrical activity of the heart during rest. It is typically used to assess the presence of heart diseases or abnormal heart rhythms. The different categories of RestingECG are:

1. Normal: This category indicates a normal resting electrocardiogram result, suggesting that the patient does not have any significant heart disease or abnormalities.
2. ST: This category refers to ST segment abnormalities on the electrocardiogram, which can indicate ischemia (inadequate blood supply) to the heart muscle. ST segment changes may be indicative of coronary artery disease or other cardiac conditions.
3. LVH (Left Ventricular Hypertrophy): This category represents an abnormality in the electrical conduction system of the heart, specifically an enlargement of the left ventricle. LVH can be a sign of underlying heart disease, including high blood pressure or conditions that cause the heart walls to thicken.

To analyze the relationship between RestingECG and the presence of heart disease, we need information about the target variable (i.e., whether the coronary angiography shows heart disease or not). Without this information, it is difficult to determine the specific values of RestingECG that are indicative or non-indicative of heart disease.

However, assuming we have data for both RestingECG and the target class, we can create a dictionary as follows:

```json
{
	"no": ["Normal"],
	"yes": ["ST", "LVH"]
}
```

In this case, we are assuming that "Normal" RestingECG values may be associated with individuals not showing heart disease (target class: no). On the other hand, "ST" and "LVH" RestingECG values may be more likely to indicate heart disease (target class: yes). It is important to note that this relationship is based on general assumptions, and further analysis with actual data is needed to provide more accurate insights.