La monnaie unique europeenne et sa relation au ... - Eumed.net

Modèle polynômial :
Dependent Variable: M
Method: Least Squares
Date: 12/10/06 Time: 12:16
Sample: 1969 1997
Included observations: 29
M=C(1)*@TREND^2+C(2)*@TREND^3+C(3)*@TREND^4+C(4)
LLaa moonnnnaai iiee uunni iiqquuee eeuur rooppééeennnnee. ..
Coefficient Std. Error t-Statistic Prob.
C(1) 2.999491 1.604807 1.869067 0.0734
C(2) 0.080238 0.136417 0.588181 0.5617
C(3) -0.002937 0.002984 -0.984197 0.3344
C(4) 449.1790 45.00418 9.980828 0.0000
R-squared 0.984768 Mean dependent var 1322.655
Adjusted R-squared 0.982940 S.D. dependent var 774.3081
S.E. of regression 101.1360 Akaike info criterion 12.19825
Sum squared resid 255712.5 Schwarz criterion 12.38684
Log likelihood -172.8747 Durbin-Watson stat 0.681749
200
100
-100
-200
Modèle logistique :
0
-300
1970 1975 1980 1985 1990 1995
Dependent Variable: M
Method: Least Squares
Date: 12/10/06 Time: 12:17
Sample: 1969 1997
Included observations: 29
Convergence achieved after 7 iterations
M=2660/(1+EXP(C(1)*@TREND+C(2)))
Residual Actual Fitted
TToomee IIVV I
3000
2500
2000
1500
1000
500
Coefficient Std. Error t-Statistic Prob.
C(1) -0.165229 0.011305 -14.61601 0.0000
C(2) 2.421381 0.177719 13.62474 0.0000
R-squared 0.949669 Mean dependent var 1322.655
Adjusted R-squared 0.947805 S.D. dependent var 774.3081
S.E. of regression 176.9000 Akaike info criterion 13.25552
Sum squared resid 844927.3 Schwarz criterion 13.34981
0
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