Based on prior knowledge, the maximum heart rate achieved (MaxHR) can provide insights into the presence of heart disease. Let's perform an analysis of the relationship between MaxHR and the target variable (heart disease).

To accomplish this, we need the dataset containing information about patients' coronary angiography results. With access to this dataset, we can evaluate the MaxHR values for patients with and without heart disease.

After analyzing the dataset, we will create a dictionary with possible MaxHR values for each target class: 'no' (indicating no heart disease) and 'yes' (indicating the presence of heart disease).

Here is an example of the dictionary:

```json
{
	"no": [70.0, 80.0, 90.0, 100.0, 110.0],
	"yes": [90.0, 100.0, 110.0, 120.0, 130.0]
}
```

Please note that the values provided in the example are arbitrary and should be replaced with actual MaxHR values obtained from the dataset analysis.