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Question: The number of years spent in education and training ? how important do you think that ought to be in deciding pay?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
9 countries/ areas
Highlight:
1 United States63.9%
2 Germany56.6%
3 Italy55.3%
4 Republic of Korea54.6%
5 Australia52.1%
6 United Kingdom45.5%
7 Sweden40.3%
8 France38.3%
9 Japan 27.0%

Note
Can't choose/ No answer are excluded.

No data for 1 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data9
Regression equation
Y = 1.008430 X +6.251
Correlation coefficient (r)0.230
Coefficient of determination (R2)0.053

GDP per capita (current US$)
No. of data9
Regression equation
Y = 35177.337840 X +32525.007
Correlation coefficient (r)0.322
Coefficient of determination (R2)0.104

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -11.968746 X +87.677
Correlation coefficient (r)-0.654
Coefficient of determination (R2)0.428

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.443441 X +1.683
Correlation coefficient (r)-0.173
Coefficient of determination (R2)0.030

Suicide - all ages (per 100,000 population)
No. of data9
Regression equation
Y = 3.829089 X +12.366
Correlation coefficient (r)0.070
Coefficient of determination (R2)0.005