Table:
2002-2004 cohort
1997-1999 cohort

1 to 2 years
5 to 6 years
1 to 2 years
5 to 6 years
10 to 11 years

model 1
model 2
model 1
model 2
model 3

r-squared of the full model
0.136
0.070
0.096
0.078
0.085

unique contribution to the r-squared

age
0.003
0.012
0.011
0.015
0.020

education
0.001
0.005
0.009
0.016
0.021

language
0.032
0.016
0.023
0.017
0.014

canadian work experience
0.045
0.016
0.030
0.011
0.006

studies in canada
0.001
0.000
0.002
0.001
0.001

spouse's education
0.001
0.002
0.002
0.003
0.003

spouse's canadian work experience
0.002
0.001
0.000
0.000
0.000

spouse's studies in canada
0.000
0.000
0.000
0.000
0.000

contribution of selected common components to the r-squared

age, education
0.000
0.000
0.000
0.000
0.000

age, language
-0.001
-0.002
-0.001
-0.001
-0.002

age, canadian work experience
-0.001
-0.001
0.000
0.000
0.000

education, language
0.000
-0.001
-0.002
-0.002
-0.002

education, canadian work experience
0.003
0.001
0.004
0.003
0.003

language, canadian work experience
0.019
0.008
0.011
0.005
0.003

Statement: age at landing (a proxy for foreign work experience), language and canadian work experience have the most predictive power regarding intermediate-term earnings, with language and canadian work experience contributing (independently) 1.6 percentage points each.
Question: list the top2 contributions with the most predictive power regarding intermediate-term earnings.
Answer: language, canadian work experience