| 1 | A | B | C | D | E | F |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | this table displays the results of the relative importance of predictors of earnings for principal applicants (economic immigrants) by years since landing and landing cohort 2002-2004 cohort, 1997-1999 cohort, 1 to 2 years, 5 to 6 years and 10 to 11 years (appearing as column headers) |  |  |  |  |  |
| 3 |  | 2002-2004 cohort |  | 1997-1999 cohort |  |  |
| 4 |  | 1 to 2 years | 5 to 6 years | 1 to 2 years | 5 to 6 years | 10 to 11 years |
| 5 |  | model 1 | model 2 | model 1 | model 2 | model 3 |
| 6 | r-squared of the full model | 0.136 | 0.070 | 0.096 | 0.078 | 0.085 |
| 7 | unique contribution to the r-squared |  |  |  |  |  |
| 8 | age | 0.003 | 0.012 | 0.011 | 0.015 | 0.020 |
| 9 | education | 0.001 | 0.005 | 0.009 | 0.016 | 0.021 |
| 10 | language | 0.032 | 0.016 | 0.023 | 0.017 | 0.014 |
| 11 | canadian work experience | 0.045 | 0.016 | 0.030 | 0.011 | 0.006 |
| 12 | studies in canada | 0.001 | 0.000 | 0.002 | 0.001 | 0.001 |
| 13 | spouse's education | 0.001 | 0.002 | 0.002 | 0.003 | 0.003 |
| 14 | spouse's canadian work experience | 0.002 | 0.001 | 0.000 | 0.000 | 0.000 |
| 15 | spouse's studies in canada | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 16 | contribution of selected common components to the r-squared |  |  |  |  |  |
| 17 | age, education | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 18 | age, language | -0.001 | -0.002 | -0.001 | -0.001 | -0.002 |
| 19 | age, canadian work experience | -0.001 | -0.001 | 0.000 | 0.000 | 0.000 |
| 20 | education, language | 0.000 | -0.001 | -0.002 | -0.002 | -0.002 |
| 21 | education, canadian work experience | 0.003 | 0.001 | 0.004 | 0.003 | 0.003 |
| 22 | language, canadian work experience | 0.019 | 0.008 | 0.011 | 0.005 | 0.003 |

Question: what was the r-squared in model 1 for the 2002-2004 cohort?
Answer: 0.136

Question: what was the r-squared in the intermediate-term model (model 2) for the 2002-2004 cohort?
Answer: 0.07

Question: list the top2 contributions with the most predictive power regarding intermediate-term earnings.
Answer: language, canadian work experience

Question: ater 10 to 11 years in canada,which variable had the most predictive power to the r-squared?
Answer: education

Question: list the variable that had the next strongest predictor after 10 to 11 years.
Answer: age

Question: what was the rate of language accounting for the r-squared after 10 to 11 years?
Answer: 0.014