Based on prior knowledge, the maximum heart rate achieved (MaxHR) can be an indicator of heart disease. A higher MaxHR might suggest a higher likelihood of heart disease. However, it is important to note that MaxHR alone is not a definitive diagnostic indicator and should be considered in conjunction with other factors.

To analyze the relationship between MaxHR and heart disease, we need access to data that includes MaxHR values and corresponding target variables (whether coronary angiography shows heart disease or not) for multiple patients. We can then group the MaxHR values based on the target class and determine the typical range of values for each class.

Since we don't have access to the actual data, we can't perform the analysis or provide the exact MaxHR values for each class. However, as requested, I will generate a dictionary with placeholder values indicating where you can include the actual data:

```json
{
	"no": [180.0, 175.0, 160.0, 150.0, 140.0],  
	"yes": [195.0, 190.0, 185.0, 170.0, 165.0]  
}
```

In this example, the "no" class represents patients without heart disease, and the "yes" class represents patients with heart disease. The placeholder values provided are illustrative and should be replaced with actual data values obtained from the analysis of MaxHR for the respective target classes.

Please note that to obtain accurate results, a more comprehensive analysis using a larger dataset with corresponding target information is necessary.