Based on my prior knowledge, I can analyze the relationship between the feature PAQ605 and the task of predicting the person's age group (Senior or non-senior).

Typically, adults (non-seniors) tend to be more active and engage in moderate or vigorous-intensity sports, fitness, or recreational activities in the typical week. On the other hand, seniors may be less active and participate in these activities less frequently.

To create the desired dictionary, I will divide the values of the PAQ605 feature into two categories: 'Adult' and 'Senior'. Here is an example of how the dictionary could look:

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

In the above dictionary, the 'Adult' category includes typical PAQ605 values for non-seniors, and the 'Senior' category includes typical values for seniors. This is just an example, and the actual values may vary based on the dataset being analyzed.

Note: As the dataset is not provided, the exact values for this specific feature-target relationship cannot be determined. However, the example provided gives an understanding of how the dictionary should be structured and what values it should contain.