Based on prior knowledge, fasting blood sugar (FastingBS) levels can be used to determine whether or not a patient shows signs of heart disease during coronary angiography.

Let's assume the following ranges for FastingBS:
- FastingBS <= 120 mg/dl: healthy or no heart disease
- FastingBS > 120 mg/dl: potential heart disease

Based on this information, we can analyze the relationship between FastingBS and the presence of heart disease:

- If FastingBS <= 120 mg/dl, it is likely that the patient does not show heart disease. Therefore, this corresponds to the "no" target class.

- If FastingBS > 120 mg/dl, it is more likely that the patient shows heart disease. Therefore, this corresponds to the "yes" target class.

Now, let's create the dictionary with 5 typical FastingBS values for each target class:

```json
{
	"no": [80.0, 85.0, 100.0, 110.0, 115.0],
	"yes": [130.0, 140.0, 150.0, 160.0, 180.0]
}
```

Please note that these values are just examples and may not represent the actual distribution of FastingBS values for each target class.