Table 14. Interaction with race site, results from linear regression with truncated dataset time = sex×(year+year²)+sex×(age+age²) + sex×nationality×site and referenced to male, age 44, year 2009, site at home and nationality Australia.

R² = 0.20.

	Coefficient	Standard error	P-Value
Intercept	11.319	0.0447	0.000
sex (female)	0.139	0.1045	0.182
age	0.020	0.0004	0.000
age squared	0.0011	0.0000	0.000
year	0.068	0.0008	0.000
year squared	0.0024	0.0000	0.000
age*female	0.005	0.0013	0.000
age squared*female	-0.0004	0.0001	0.000
year*female	0.006	0.0025	0.013
year squared*female	-0.0002	0.0001	0.152
race abroad	-1.747	0.1297	0.000
race abroad*female	0.1782	0.2556	0.486
AUS
AUT	-1.092	0.0953	0.000
BEL	-1.228	0.0701	0.000
CAN	-0.128	0.0668	0.056
CHN	0.601	0.1196	0.000
CZE	-0.314	0.0984	0.001
DEN	-0.831	0.0792	0.000
ESP	-1.188	0.0601	0.000
FIN	-0.994	0.0667	0.000
FRA	-0.136	0.0458	0.003
GBR	-1.322	0.0737	0.000
GER	-1.040	0.0472	0.000
HKG	0.841	0.2060	0.000
HUN	-0.986	0.0867	0.000
ITA	0.336	0.0463	0.000
JPN	0.074	0.0451	0.102
KOR	0.432	0.0609	0.000
NED	-0.856	0.0658	0.000
POL	-0.105	0.0567	0.063
RUS	-1.672	0.0706	0.000
SUI	0.001	0.0469	0.986
SWE	-0.661	0.0835	0.000
TPE	0.510	0.0568	0.000
USA	0.273	0.0507	0.000
AUT*race abroad	2.484	0.1627	0.000
BEL*race abroad	2.343	0.1501	0.000
CAN*race abroad	0.957	0.1663	0.000
CHN*race abroad	1.571	0.2566	0.000
CZE*race abroad	1.002	0.1705	0.000
DEN*race abroad	1.025	0.1950	0.000
ESP*race abroad	1.297	0.1558	0.000
FIN*race abroad	0.860	0.1944	0.000
FRA*race abroad	1.484	0.1350	0.000
GBR*race abroad	2.418	0.1524	0.000
GER*race abroad	2.584	0.1308	0.000
HKG*race abroad	1.065	0.3543	0.003
HUN*race abroad	0.197	0.1876	0.295
ITA*race abroad	0.735	0.1427	0.000
JPN*race abroad	-0.399	0.1659	0.016
KOR*race abroad	0.012	0.2824	0.965
NED*race abroad	2.018	0.1583	0.000
POL*race abroad	0.864	0.1450	0.000
RUS*race abroad	-0.102	0.1583	0.520
SUI*race abroad	0.884	0.1622	0.000
SWE*race abroad	1.021	0.1956	0.000
TPE*race abroad	1.460	0.1714	0.000
USA*race abroad	0.567	0.1488	0.000
AUT*female	-0.564	0.3079	0.067
BEL*female	0.207	0.2213	0.349
CAN*female	0.324	0.1445	0.025
CHN*female	0.293	0.3774	0.437
CZE*female	-0.191	0.2767	0.489
DEN*female	0.408	0.2037	0.045
ESP*female	0.377	0.2155	0.081
FIN*female	0.567	0.1591	0.000
FRA*female	0.296	0.1089	0.007
GBR*female	-0.032	0.1626	0.845
GER*female	0.371	0.1127	0.001
HKG*female	0.798	0.8050	0.321
HUN*female	-0.139	0.2253	0.536
ITA*female	0.161	0.1113	0.149
JPN*female	0.144	0.1053	0.171
KOR*female	0.088	0.2539	0.729
NED*female	0.278	0.1813	0.125
POL*female	0.191	0.1639	0.244
RUS*female	0.284	0.1617	0.079
SUI*female	0.454	0.1155	0.000
SWE*female	0.024	0.1890	0.897
TPE*female	-0.121	0.1845	0.512
USA*female	0.234	0.1167	0.045
AUT* race abroad*female	0.658	0.4180	0.115
BEL* race abroad*female	-0.506	0.3768	0.179
CAN* race abroad*female	-0.052	0.3147	0.868
CHN* race abroad*female	-0.906	0.7296	0.214
CZE* race abroad*female	0.692	0.4175	0.098
DEN* race abroad*female	-0.199	0.4214	0.637
ESP* race abroad*female	1.056	0.5267	0.045
FIN* race abroad*female	0.958	0.4499	0.033
FRA* race abroad*female	-1.505	0.2853	0.000
GBR* race abroad*female	-1.157	0.3115	0.000
GER* race abroad*female	-0.119	0.2609	0.648
HKG* race abroad*female	-1.186	0.9940	0.233
HUN* race abroad*female	0.672	0.3816	0.078
ITA* race abroad*female	-1.355	0.3009	0.000
JPN* race abroad*female	-0.214	0.3048	0.482
KOR* race abroad*female	0.116	0.7603	0.878
NED* race abroad*female	-0.144	0.3698	0.697
POL* race abroad*female	0.900	0.3611	0.013
RUS* race abroad*female	0.585	0.3127	0.061
SUI* race abroad*female	-0.592	0.3508	0.091
SWE* race abroad*female	-0.452	0.4260	0.289
TPE* race abroad*female	-0.285	0.3870	0.461
USA* race abroad*female	-0.878	0.2887	0.002