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: after 10 to 11 years in canada,education had the most predictive power, accounting for 2.1 percentage points of the r-squared.
Question: ater 10 to 11 years in canada,which variable had the most predictive power to the r-squared?
Answer: education