Based on the given description of the feature PAQ605, we can determine the relationship between the feature and the task of predicting the age group. Since the feature represents whether the respondent engages in moderate or vigorous-intensity physical activity, it can be assumed that individuals who engage in such activities are more likely to be in the non-senior age group.

With this knowledge, we can analyze the relationship between PAQ605 and the target classes ('Adult' and 'Senior') by looking at the possible values of PAQ605 for each class.

The dictionary with the requested information will look like this:

```json
{
	"Adult": [1.0, 1.0, 1.0, 1.0, 1.0],
	"Senior": [2.0, 2.0, 2.0, 2.0, 2.0]
}
```

In this case, we assume that the possible values of PAQ605 for the 'Adult' class are all 1.0, indicating that respondents in the 'Adult' age group engage in moderate or vigorous-intensity physical activity in the typical week. Similarly, we assume that the possible values of PAQ605 for the 'Senior' class are all 2.0, indicating that respondents in the 'Senior' age group do not engage in such activities.