Table 2.
Country | Model 1 | R 2,3 | RSE 4 | p-Value 5 | |
---|---|---|---|---|---|
Intercept 2 | Year 2 | ||||
United States of America | 2941.6 *** (40.6) |
129.7 *** (1.20) |
0.99 | 152.5 | <0.001 |
Brazil | 451.2 *** (50.4) |
18.5 *** (1.49) |
0.73 | 189.5 | <0.001 |
Germany | 2904.6 *** (83.4) |
81.4 *** (2.46) |
0.95 | 313.4 | <0.001 |
France | 2103.8 *** (56.8) |
91.9 *** (1.68) |
0.98 | 213.6 | <0.001 |
New Zealand | 2419.1 *** (70.9) |
29.0 *** (2.09) |
0.77 | 266.7 | <0.001 |
Poland | 1603.6 *** (107.4) |
65.3 *** (3.17) |
0.88 | 403.8 | <0.001 |
Italy | 2200.5 *** (91.3) |
72.5 *** (2.69) |
0.93 | 343.1 | <0.001 |
Canada | 2081.3 *** (84.1) |
120.7 *** (2.48) |
0.98 | 316.3 | <0.001 |
Ireland | 2035.0 *** (53.3) |
59.9 *** (1.57) |
0.96 | 200.5 | <0.001 |
1 *** = p-value < 0.01; 2 Estimate (Standard error); 3 R2 = Coefficient of determination; 4 RSE = Residual standard error; 5 Model significance.