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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:
8 countries/ areas
Highlight:
1 United States69.1%
2 Germany60.7%
3 Australia56.4%
4 Canada56.0%
5 United Kingdom55.9%
6 Sweden41.1%
7 France38.3%
8 Japan 11.6%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 2 countries.

Source
ISSP 1999

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data8
Regression equation
Y = 1.627850 X +6.115
Correlation coefficient (r)0.729
Coefficient of determination (R2)0.531

GDP per capita (current US$)
No. of data8
Regression equation
Y = 38623.573824 X +34596.834
Correlation coefficient (r)0.688
Coefficient of determination (R2)0.473

Life expectancy at birth - Both sexes (years)
No. of data8
Regression equation
Y = -9.339053 X +86.192
Correlation coefficient (r)-0.786
Coefficient of determination (R2)0.618

Fertility rate, total (births per woman)
No. of data8
Regression equation
Y = 0.214204 X +1.463
Correlation coefficient (r)0.252
Coefficient of determination (R2)0.064

Suicide - all ages (per 100,000 population)
No. of data8
Regression equation
Y = -4.457009 X +15.218
Correlation coefficient (r)-0.311
Coefficient of determination (R2)0.097