Based on prior knowledge, I can analyze the relationship between the `FastingBS` feature and the presence of heart disease indicated by the coronary angiography.

For this analysis, I will assume that a fasting blood sugar level above 120 mg/dl indicates higher risk of heart disease (target class 'yes') and a fasting blood sugar level below or equal to 120 mg/dl indicates no heart disease (target class 'no').

Based on this assumption, I will create a dictionary with the possible values of the `FastingBS` feature for both target classes 'no' and 'yes', including 5 typical values for each class:

```json
{
    "no": [90.5, 98.2, 112.8, 119.9, 115.4],
    "yes": [125.6, 130.1, 145.3, 135.8, 121.9]
}
```

Please note that these values are just examples and should not be considered as actual or comprehensive data. This analysis requires access to real data and expert domain knowledge for accurate assessments.