Based on prior knowledge, we can analyze the relationship between the MaxHR (maximum heart rate achieved) feature and the presence of heart disease.

In general, higher maximum heart rates are expected during exercise or physical exertion. However, in the context of heart disease, abnormal maximum heart rates could be indicative of a higher risk. So, we can expect to see different ranges of MaxHR values for patients with and without heart disease.

To generate the dictionary with typical MaxHR values for each target class, let's assume the following:

- 'no' class represents patients without heart disease.
- 'yes' class represents patients with heart disease.

```json
{
	"no": [150.2, 137.8, 162.5, 143.6, 129.1],
	"yes": [180.4, 170.9, 176.2, 190.5, 185.3]
}
```

This dictionary suggests possible MaxHR values for each target class. Please note that the specific values are just examples and should be interpreted as approximations rather than concrete thresholds. Further analysis and domain-specific knowledge would be required to determine more precise ranges.