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Question: Suppose you were riding in a car driven by a close friend. You know he is going too fast. He hits a pedestrian. He asks you to tell the police that he was obeying the speed limit. What would you do in this situation?
Choices: "Definitely tell the policy that your friend was going faster than the speed limit" "Probably tell the policy that your friend was going faster than the speed limit" "Probably tell the policy that your friend was not going faster than the speed limit" "Definitely tell the policy that your friend was not going faster than the speed limit"
Data: % of "Probably tell the policy that your friend was not going faster than the speed limit" "Definitely tell the policy that your friend was not going faster than the speed limit"
Period:
Area:
7 countries/ areas
Highlight:
1 France 32.2%
2 Japan31.7%
3 Italy30.6%
4 Germany24.5%
5 Canada19.0%
6 United Kingdom14.2%
7 United States12.3%

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

Source
ISSP 1998

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data7
Regression equation
Y = -1.830231 X +7.062
Correlation coefficient (r)-0.622
Coefficient of determination (R2)0.387

Life satisfaction (10 steps)
No. of data7
Regression equation
Y = -1.976156 X +7.059
Correlation coefficient (r)-0.704
Coefficient of determination (R2)0.496

Life satisfaction (10 steps)
No. of data7
Regression equation
Y = -2.420988 X +7.153
Correlation coefficient (r)-0.702
Coefficient of determination (R2)0.493

GDP per capita (current US$)
No. of data7
Regression equation
Y = -161845.399981 X +90642.955
Correlation coefficient (r)-0.801
Coefficient of determination (R2)0.642

Life expectancy at birth - Both sexes (years)
No. of data7
Regression equation
Y = 19.778674 X +77.109
Correlation coefficient (r)0.846
Coefficient of determination (R2)0.716

Fertility rate, total (births per woman)
No. of data7
Regression equation
Y = -0.968302 X +1.640
Correlation coefficient (r)-0.408
Coefficient of determination (R2)0.166

Suicide, age-standardized (per 100 000 population)
No. of data7
Regression equation
Y = -2.989778 X +10.763
Correlation coefficient (r)-0.069
Coefficient of determination (R2)0.005