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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 France 38.3%
8 Japan11.6%

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 = 1.108612 X +6.231
Correlation coefficient (r)0.538
Coefficient of determination (R2)0.289

GDP per capita (current US$)
No. of data8
Regression equation
Y = 56182.947037 X +25524.394
Correlation coefficient (r)0.756
Coefficient of determination (R2)0.572

Life expectancy at birth - Both sexes (years)
No. of data8
Regression equation
Y = -9.964086 X +86.559
Correlation coefficient (r)-0.715
Coefficient of determination (R2)0.511

Fertility rate, total (births per woman)
No. of data8
Regression equation
Y = 0.371728 X +1.410
Correlation coefficient (r)0.404
Coefficient of determination (R2)0.163

Suicide, age-standardized (per 100 000 population)
No. of data8
Regression equation
Y = -1.598878 X +11.466
Correlation coefficient (r)-0.118
Coefficient of determination (R2)0.014