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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 France 38.3%
9 Japan27.0%

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 = 0.422804 X +6.424
Correlation coefficient (r)0.113
Coefficient of determination (R2)0.013

GDP per capita (current US$)
No. of data9
Regression equation
Y = 59228.862451 X +19716.961
Correlation coefficient (r)0.447
Coefficient of determination (R2)0.200

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -13.279840 X +88.331
Correlation coefficient (r)-0.623
Coefficient of determination (R2)0.388

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.265390 X +1.612
Correlation coefficient (r)-0.096
Coefficient of determination (R2)0.009

Suicide, age-standardized (per 100 000 population)
No. of data9
Regression equation
Y = 3.673404 X +9.415
Correlation coefficient (r)0.086
Coefficient of determination (R2)0.007