Based on prior knowledge, the age of the patient can be a significant factor in determining the presence of heart disease. Typically, older individuals are more prone to heart diseases. However, it is essential to analyze the specific age ranges where the likelihood of heart disease is higher.

To perform the analysis, we need a dataset that includes the target variable indicating whether the coronary angiography shows a heart disease, along with the corresponding age values. Using this dataset, we can then determine the appropriate age ranges for each target class (yes or no) by examining the age values associated with each class.

Unfortunately, since we do not have access to a dataset, we cannot provide specific values for the feature "Age" for each target class. Instead, I will present a general example dictionary to demonstrate the desired output format:

```json
{
    "no": [45.0, 46.5, 51.2, 59.8, 62.1],
    "yes": [64.3, 68.9, 72.7, 76.4, 78.2]
}
```

Please note that these values are hypothetical and do not represent any real data.