user
Instruction
Answer the question based on the provided table.


Table
Table Title: predicted probabilities of experiencing persistent overqualification, based on certain characteristics, by immigration status and location of study, canada, 2006 and 2016
Table Content:
<table border="1" cellspacing="0">
<tr> <td rowspan="3">  </td> <td rowspan="2"> non-immigrants </td> <td colspan="2"> immigrants </td> </tr>
<tr> <td> studied in canada </td> <td>  </td> </tr>
<tr> <td colspan="3"> predicted probability </td> </tr>
<tr> <td> sex </td> <td colspan="3">  </td> </tr>
<tr> <td> women </td> <td> 3.6 </td> <td> 4.7 </td> <td> 15.0 </td> </tr>
<tr> <td> men </td> <td> 3.5 </td> <td> 4.4 </td> <td> 13.2 </td> </tr>
<tr> <td> highest level of educational attainment </td> <td colspan="3">  </td> </tr>
<tr> <td> bachelor's degree without further studies </td> <td> 4.7 </td> <td> 6.4 </td> <td> 16.8 </td> </tr>
<tr> <td> bachelor's degree with further studies </td> <td> 1.4 </td> <td> 2.7 </td> <td> 11.7 </td> </tr>
<tr> <td>  </td> <td> 1.8 </td> <td> 1.2 </td> <td> 13.8 </td> </tr>
<tr> <td>  </td> <td> 1.0 </td> <td> 0.7 </td> <td> 10.7 </td> </tr>
<tr> <td> degree in medicine, dentistry, veterinary medicine or optometry </td> <td> 0.2 </td> <td> 0.5 </td> <td> 10.1 </td> </tr>
<tr> <td> master's degree without further studies </td> <td> 1.0 </td> <td> 1.1 </td> <td> 9.5 </td> </tr>
<tr> <td> master's degree with further studies </td> <td> 0.1 </td> <td> ne </td> <td> 2.1 </td> </tr>
<tr> <td> doctorate acquired </td> <td> 0.2 </td> <td> ne </td> <td> 2.4 </td> </tr>
<tr> <td> field of study </td> <td colspan="3">  </td> </tr>
<tr> <td> education </td> <td> 1.5 </td> <td> 3.0 </td> <td> 17.7 </td> </tr>
<tr> <td> visual and performing arts, and communications technologies </td> <td> 6.0 </td> <td> 8.7 </td> <td> 15.1 </td> </tr>
<tr> <td> humanities </td> <td> 8.9 </td> <td> 8.7 </td> <td> 24.8 </td> </tr>
<tr> <td> social and behavioural sciences and law </td> <td> 5.6 </td> <td> 7.8 </td> <td> 19.7 </td> </tr>
<tr> <td> business, management and public administration </td> <td> 3.3 </td> <td> 4.6 </td> <td> 15.9 </td> </tr>
<tr> <td> physical and life sciences and technologies </td> <td> 4.2 </td> <td> 4.4 </td> <td> 14.5 </td> </tr>
<tr> <td> mathematics, computer and information sciences </td> <td> 1.4 </td> <td> 1.5 </td> <td> 8.0 </td> </tr>
<tr> <td> architecture, engineering, and related technologies </td> <td> 1.0 </td> <td> 2.9 </td> <td> 10.5 </td> </tr>
<tr> <td> agriculture, natural resources and conservation </td> <td> 4.2 </td> <td> 7.2 </td> <td> 25.4 </td> </tr>
<tr> <td> health and related fields </td> <td> 1.7 </td> <td> 2.6 </td> <td> 9.9 </td> </tr>
<tr> <td> other </td> <td> 10.1 </td> <td> ne </td> <td> 18.3 </td> </tr>
<tr> <td> level of familiarity with official languages </td> <td colspan="3">  </td> </tr>
<tr> <td> 1. highest level </td> <td> 3.3 </td> <td> 2.9 </td> <td> 7.9 </td> </tr>
<tr> <td> 2 </td> <td> 3.7 </td> <td> 3.8 </td> <td> 6.0 </td> </tr>
<tr> <td> 3 </td> <td> 3.7 </td> <td> 3.3 </td> <td> 10.4 </td> </tr>
<tr> <td> 4 </td> <td> 3.4 </td> <td> 4.8 </td> <td> 12.5 </td> </tr>
<tr> <td> 5 </td> <td> 4.5 </td> <td> 5.5 </td> <td> 14.0 </td> </tr>
<tr> <td> 6. lowest level </td> <td> 5.0 </td> <td> 6.7 </td> <td> 16.1 </td> </tr>
<tr> <td> location of study </td> <td colspan="3">  </td> </tr>
<tr> <td> canada </td> <td> 3.5 </td> <td> .. </td> <td> .. </td> </tr>
<tr> <td> north america </td> <td> .. </td> <td> .. </td> <td> 7.3 </td> </tr>
<tr> <td> central and south america </td> <td> .. </td> <td> .. </td> <td> 8.2 </td> </tr>
<tr> <td> caribbean and bermuda </td> <td> .. </td> <td> .. </td> <td> 15.2 </td> </tr>
<tr> <td> western europe </td> <td> .. </td> <td> .. </td> <td> 6.9 </td> </tr>
<tr> <td> eastern europe </td> <td> .. </td> <td> .. </td> <td> 11.6 </td> </tr>
<tr> <td> northern europe </td> <td> .. </td> <td> .. </td> <td> 5.2 </td> </tr>
<tr> <td> southern europe </td> <td> .. </td> <td> .. </td> <td> 8.8 </td> </tr>
<tr> <td> sub-saharan africa </td> <td> .. </td> <td> .. </td> <td> 10.2 </td> </tr>
<tr> <td> northern africa </td> <td> .. </td> <td> .. </td> <td> 8.5 </td> </tr>
<tr> <td> west central asia </td> <td> .. </td> <td> .. </td> <td> 10.4 </td> </tr>
<tr> <td> eastern asia </td> <td> .. </td> <td> .. </td> <td> 10 </td> </tr>
<tr> <td> southeast asia </td> <td> .. </td> <td> .. </td> <td> 23.6 </td> </tr>
<tr> <td> southern asia </td> <td> .. </td> <td> .. </td> <td> 22 </td> </tr>
<tr> <td> oceania </td> <td> .. </td> <td> .. </td> <td> 11.3 </td> </tr>
<tr> <td> outside canada </td> <td> 4.7 </td> <td> .. </td> <td> .. </td> </tr>
</table>


Question
what were the predicted probabilities of persistent overqualification for immigrants who completed their studies outside canada and whose highest level of educational attainment was a degree in medicine, dentistry, veterinary medicine or optometry and those non-immigrants respectively?


Answer Format
The final answer should be concise and use the following format:
```json
{
    "answer": [
        "answer1",
        "answer2",
        ...
    ]
}
```
rule
["10.1", "0.2"]