Based on prior knowledge and assuming that coronary angiography is a common diagnostic test for heart diseases, we can analyze the relationship between the age of the patient (the feature) and the presence of heart disease (the target).

As we know, heart diseases can affect individuals of all ages, but the risk tends to increase with age. Therefore, we can expect to see a higher proportion of heart diseases in older patients compared to younger ones. 

To construct the dictionary, we need to identify five typical age values for each target class ('no' and 'yes'):

```json
{
    "no": [20.0, 30.0, 40.0, 50.0, 60.0],
    "yes": [50.0, 60.0, 70.0, 80.0, 90.0]
}
```

Please note that these age values are not based on a specific dataset or statistical analysis but are assumed as representative examples. The actual values may vary depending on the dataset being analyzed.