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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:
26 countries/ areas
Highlight:
1 Latvia51.7%
2 Slovakia36.2%
3 Czech Republic34.6%
4 Israel34.5%
5 Poland 32.4%
6 France32.2%
7 Japan31.7%
8 Italy30.6%
9 Portugal28.2%
10 Slovenia26.7%
11 Germany24.5%
12 Austria22.7%
13 Chile20.0%
13 Sweden20.0%
15 Denmark19.1%
16 Canada19.0%
17 Switzerland18.5%
18 Ireland18.3%
19 Norway18.0%
20 Spain16.6%
21 Netherlands15.1%
22 United Kingdom14.2%
23 Hungary13.8%
24 Australia12.4%
25 United States12.3%
26 New Zealand7.2%

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.

No data for 12 countries.

Source
ISSP 1998

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data26
Regression equation
Y = -2.324582 X +7.369
Correlation coefficient (r)-0.451
Coefficient of determination (R2)0.203

GDP per capita (current US$)
No. of data26
Regression equation
Y = -113247.815515 X +73824.458
Correlation coefficient (r)-0.476
Coefficient of determination (R2)0.227

Life expectancy at birth - Both sexes (years)
No. of data26
Regression equation
Y = -8.567145 X +82.773
Correlation coefficient (r)-0.339
Coefficient of determination (R2)0.115

Fertility rate, total (births per woman)
No. of data26
Regression equation
Y = 0.530618 X +1.457
Correlation coefficient (r)0.174
Coefficient of determination (R2)0.030

Suicide - all ages (per 100,000 population)
No. of data26
Regression equation
Y = 7.155488 X +10.654
Correlation coefficient (r)0.198
Coefficient of determination (R2)0.039