EST AFRICA
*** Linear Model ***
Call: lm(formula = LXfod ~ LTDF + LGDP.POP, data = AfrESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.117 -0.0578 -0.01051 0.05251 0.1032
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 14.5213 0.5259 27.6131 0.0000
LTDF -0.6237 0.1590 -3.9227 0.0044
LGDP.POP 0.6383 0.1856 3.4394 0.0088
Residual standard error: 0.08029 on 8 degrees of freedom
Multiple R-Squared: 0.6945
F-statistic: 9.092 on 2 and 8 degrees of freedom, the p-value is 0.008715
*** Linear Model ***
Call: lm(formula = LXfod ~ LGDP.POP + LPPP, data = AfrESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.1179 -0.06649 -0.01227 0.07387 0.1174
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 14.0443 0.5716 24.5689 0.0000
LGDP.POP 0.9342 0.2832 3.2983 0.0109
LPPP -0.5098 0.1645 -3.0989 0.0147
Residual standard error: 0.09255 on 8 degrees of freedom
Multiple R-Squared: 0.5941
F-statistic: 5.854 on 2 and 8 degrees of freedom, the p-value is 0.02715
*** Linear Model ***
Call: lm(formula = LXfod ~ LTDF + LGDP.POP, data = AfrESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.117 -0.0578 -0.01051 0.05251 0.1032
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 14.5213 0.5259 27.6131 0.0000
LTDF -0.6237 0.1590 -3.9227 0.0044
LGDP.POP 0.6383 0.1856 3.4394 0.0088
Residual standard error: 0.08029 on 8 degrees of freedom
Multiple R-Squared: 0.6945
F-statistic: 9.092 on 2 and 8 degrees of freedom, the p-value is 0.008715
*** Linear Model ***
Call: lm(formula = LXar ~ LTDF + LGDP.POP, data = AfrESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.1381 -0.03695 0.004418 0.03997 0.1553
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 8.3991 0.5936 14.1487 0.0000
LTDF 0.4027 0.1795 2.2438 0.0551
LGDP.POP 1.0130 0.2095 4.8351 0.0013
Residual standard error: 0.09063 on 8 degrees of freedom
Multiple R-Squared: 0.8697
F-statistic: 26.69 on 2 and 8 degrees of freedom, the p-value is 0.0002886
*** Linear Model ***
Call: lm(formula = LXar ~ LGDP.POP + LTOTAFR, data = AfrESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.1511 -0.03151 0.009028 0.05191 0.1532
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 6.2360 1.4662 4.2531 0.0028
LGDP.POP 0.7006 0.3386 2.0688 0.0724
LTOTAFR 0.9434 0.4801 1.9649 0.0850
Residual standard error: 0.09501 on 8 degrees of freedom
Multiple R-Squared: 0.8568
F-statistic: 23.93 on 2 and 8 degrees of freedom, the p-value is 0.000421
*** Linear Model ***
Call: lm(formula = LXar ~ LGDP.POP + LPPP, data = AfrESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.08583 -0.03142 0.009137 0.01714 0.1339
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 8.6241 0.3940 21.8906 0.0000
LGDP.POP 0.6176 0.1952 3.1637 0.0133
LPPP 0.4853 0.1134 4.2802 0.0027
Residual standard error: 0.06378 on 8 degrees of freedom
Multiple R-Squared: 0.9354
F-statistic: 57.97 on 2 and 8 degrees of freedom, the p-value is 0.00001736
Africa Centrale
*** Linear Model ***
Call: lm(formula = LXfod ~ LTDF + LGDP.POP, data = afrMEADregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.4556 -0.02238 0.007626 0.08322 0.2676
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 13.2540 1.3379 9.9069 0.0000
LTDF -0.8620 0.4045 -2.1310 0.0657
LGDP.POP 0.7654 0.4722 1.6210 0.1437
Residual standard error: 0.2043 on 8 degrees of freedom
Multiple R-Squared: 0.3811
F-statistic: 2.463 on 2 and 8 degrees of freedom, the p-value is 0.1467
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL, data = afrMEADregreg, na.action = na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.3164 -0.1088 -0.02726 0.1164 0.3296
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 17.8419 2.2192 8.0398 0.0000
LNTL -0.6162 0.2819 -2.1858 0.0566
Residual standard error: 0.1978 on 9 degrees of freedom
Multiple R-Squared: 0.3468
F-statistic: 4.778 on 1 and 9 degrees of freedom, the p-value is 0.05664
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL + LGDP.POP + LPPP, data = afrMEADregreg, na.action
= na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.1834 -0.09516 -0.02887 0.0982 0.1705
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 17.6437 2.4172 7.2992 0.0002
LNTL -0.5131 0.2339 -2.1938 0.0643
LGDP.POP 1.0079 0.4913 2.0517 0.0793
LPPP -0.8147 0.2629 -3.0994 0.0173
Residual standard error: 0.1447 on 7 degrees of freedom
Multiple R-Squared: 0.7282
F-statistic: 6.252 on 3 and 7 degrees of freedom, the p-value is 0.02163
*** Linear Model ***
Call: lm(formula = LXfod ~ LGDP.POP + LPPP, data = afrMEADregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.3999 -0.0368 0.01855 0.1046 0.1508
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 12.7166 1.0861 11.7085 0.0000
LGDP.POP 1.4742 0.5382 2.7394 0.0255
LPPP -0.9337 0.3126 -2.9870 0.0174
Residual standard error: 0.1758 on 8 degrees of freedom
Multiple R-Squared: 0.5413
F-statistic: 4.721 on 2 and 8 degrees of freedom, the p-value is 0.04425
*** Linear Model ***
Call: lm(formula = LXar ~ LTDF + LGDP.POP, data = afrMEADregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.2105 -0.0439 -0.02841 0.08664 0.1449
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 12.2096 0.8133 15.0121 0.0000
LTDF -0.5292 0.2459 -2.1519 0.0636
LGDP.POP 0.8827 0.2870 3.0751 0.0152
Residual standard error: 0.1242 on 8 degrees of freedom
Multiple R-Squared: 0.5535
F-statistic: 4.958 on 2 and 8 degrees of freedom, the p-value is 0.03976
NORD AFRICA
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL + LGDP.POP + LTOTAFR, data = afrNORDregreg,
na.action = na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.08673 -0.01959 0.01297 0.02736 0.05451
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 7.9382 1.0678 7.4340 0.0001
LNTL 0.1246 0.0809 1.5405 0.1673
LGDP.POP 1.1631 0.1920 6.0588 0.0005
LTOTAFR 0.3973 0.2584 1.5373 0.1681
Residual standard error: 0.05094 on 7 degrees of freedom
Multiple R-Squared: 0.9616
F-statistic: 58.38 on 3 and 7 degrees of freedom, the p-value is 0.00002553
*** Linear Model ***
Call: lm(formula = LXfod ~ LTDF + LGDP.POP + LPPP, data = afrNORDregreg, na.action
= na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.06592 -0.02603 0.01336 0.0305 0.04428
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 10.5617 0.3242 32.5743 0.0000
LTDF -0.4382 0.1794 -2.4430 0.0446
LGDP.POP 1.0191 0.1619 6.2965 0.0004
LPPP 0.4294 0.1610 2.6669 0.0321
Residual standard error: 0.04719 on 7 degrees of freedom
Multiple R-Squared: 0.967
F-statistic: 68.43 on 3 and 7 degrees of freedom, the p-value is 0.00001496
*** Linear Model ***
Call: lm(formula = LXar ~ LTOTAFR, data = afrNORDregreg, na.action = na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.3315 -0.06986 0.02942 0.05972 0.2619
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 5.0300 2.0974 2.3982 0.0400
LTOTAFR 1.6320 0.4558 3.5803 0.0059
Residual standard error: 0.1617 on 9 degrees of freedom
Multiple R-Squared: 0.5875
F-statistic: 12.82 on 1 and 9 degrees of freedom, the p-value is 0.005928
*** Linear Model ***
Call: lm(formula = LXar ~ LGDP.POP, data = afrNORDregreg, na.action = na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.3612 -0.03978 -0.009312 0.06851 0.2533
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 9.0102 0.9882 9.1180 0.0000
LGDP.POP 1.1503 0.3219 3.5738 0.0060
Residual standard error: 0.1619 on 9 degrees of freedom
Multiple R-Squared: 0.5866
F-statistic: 12.77 on 1 and 9 degrees of freedom, the p-value is 0.005988
AFRICA TOTALE
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL + LGDP.POP, data = afrregreg, na.action = na.exclude
)
Residuals:
Min 1Q Median 3Q Max
-0.1151 -0.008557 0.002383 0.01514 0.09466
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 14.8186 0.9580 15.4677 0.0000
LNTL -0.1990 0.0916 -2.1739 0.0614
LGDP.POP 0.8630 0.1277 6.7555 0.0001
Residual standard error: 0.05789 on 8 degrees of freedom
Multiple R-Squared: 0.9067
F-statistic: 38.87 on 2 and 8 degrees of freedom, the p-value is 0.00007576
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL + LGDP.POP, data = afrregreg, na.action = na.exclude
)
Residuals:
Min 1Q Median 3Q Max
-0.1151 -0.008557 0.002383 0.01514 0.09466
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 14.8186 0.9580 15.4677 0.0000
LNTL -0.1990 0.0916 -2.1739 0.0614
LGDP.POP 0.8630 0.1277 6.7555 0.0001
Residual standard error: 0.05789 on 8 degrees of freedom
Multiple R-Squared: 0.9067
F-statistic: 38.87 on 2 and 8 degrees of freedom, the p-value is 0.00007576
CON AGRICOLTURA IL MODELLO NON FUNZIONA
Africa SUD
*** Linear Model ***
Call: lm(formula = LXfod ~ LTDF + LGDP.POP, data = afrSUDregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.08533 -0.04508 0.0006193 0.01971 0.1211
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 7.6478 0.4878 15.6785 0.0000
LTDF 0.9233 0.1475 6.2603 0.0002
LGDP.POP 1.1665 0.1722 6.7758 0.0001
Residual standard error: 0.07448 on 8 degrees of freedom
Multiple R-Squared: 0.9559
F-statistic: 86.78 on 2 and 8 degrees of freedom, the p-value is 3.769e-006
*** Linear Model ***
Call: lm(formula = LXfod ~ LGDP.POP + LTOTAFR, data = afrSUDregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.206 -0.1085 0.04711 0.0972 0.1526
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 4.6287 2.2953 2.0166 0.0785
LGDP.POP 0.8551 0.5301 1.6130 0.1454
LTOTAFR 1.4712 0.7516 1.9575 0.0860
Residual standard error: 0.1487 on 8 degrees of freedom
Multiple R-Squared: 0.8243
F-statistic: 18.76 on 2 and 8 degrees of freedom, the p-value is 0.0009538
*** Linear Model ***
Call: lm(formula = LXfod ~ LTDF + LGDP.POP + LPPP, data = afrSUDregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.07542 -0.03794 0.0006242 0.04023 0.06817
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 7.9466 0.3996 19.8841 0.0000
LTDF 0.4565 0.2211 2.0649 0.0778
LGDP.POP 0.8019 0.1995 4.0196 0.0051
LPPP 0.4908 0.1985 2.4732 0.0426
Residual standard error: 0.05816 on 7 degrees of freedom
Multiple R-Squared: 0.9765
F-statistic: 96.9 on 3 and 7 degrees of freedom, the p-value is 4.599e-006
*** Linear Model ***
Call: lm(formula = LXfod ~ LGDP.POP + LPPP, data = afrSUDregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.09187 -0.04888 0.001029 0.05052 0.08224
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 8.3082 0.4263 19.4904 0.0000
LGDP.POP 0.6159 0.2112 2.9160 0.0194
LPPP 0.8406 0.1227 6.8524 0.0001
Residual standard error: 0.06901 on 8 degrees of freedom
Multiple R-Squared: 0.9622
F-statistic: 101.7 on 2 and 8 degrees of freedom, the p-value is 2.049e-006
*** Linear Model ***
Call: lm(formula = LXar ~ LGDP.POP, data = afrSUDregreg, na.action = na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.118 -0.0635 -0.009752 0.01414 0.287
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 11.6407 0.7015 16.5936 0.0000
LGDP.POP 0.4024 0.2285 1.7612 0.1120
Residual standard error: 0.1149 on 9 degrees of freedom
Multiple R-Squared: 0.2563
F-statistic: 3.102 on 1 and 9 degrees of freedom, the p-value is 0.112
AFRICA WEST
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL + LGDP.POP + LTOTAFR, data = afrWESTregreg,
na.action = na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.166 -0.05451 -0.009971 0.06836 0.1688
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 18.6469 2.4983 7.4638 0.0001
LNTL -0.3730 0.1892 -1.9708 0.0894
LGDP.POP 1.1397 0.4491 2.5375 0.0388
LTOTAFR -0.9578 0.6046 -1.5842 0.1572
Residual standard error: 0.1192 on 7 degrees of freedom
Multiple R-Squared: 0.7259
F-statistic: 6.178 on 3 and 7 degrees of freedom, the p-value is 0.02227
*** Linear Model ***
Call: lm(formula = LXfod ~ LNTL + LGDP.POP, data = afrWESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.2273 -0.05676 -0.01276 0.09207 0.1358
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 16.2178 2.1505 7.5415 0.0001
LNTL -0.3994 0.2055 -1.9435 0.0879
LGDP.POP 0.5629 0.2868 1.9631 0.0853
Residual standard error: 0.1299 on 8 degrees of freedom
Multiple R-Squared: 0.6276
F-statistic: 6.74 on 2 and 8 degrees of freedom, the p-value is 0.01924
*** Linear Model ***
Call: lm(formula = LXar ~ LTDF + LGDP.POP, data = afrWESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.2931 -0.09617 -0.0466 0.09285 0.3776
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 12.9759 1.3765 9.4270 0.0000
LTDF -0.7633 0.4162 -1.8340 0.1040
LGDP.POP 0.7992 0.4858 1.6451 0.1386
Residual standard error: 0.2102 on 8 degrees of freedom
Multiple R-Squared: 0.3358
F-statistic: 2.022 on 2 and 8 degrees of freedom, the p-value is 0.1947
*** Linear Model ***
Call: lm(formula = LXar ~ LGDP.POP + LPPP, data = afrWESTregreg, na.action =
na.exclude)
Residuals:
Min 1Q Median 3Q Max
-0.2493 -0.1024 0.01714 0.0781 0.2577
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 12.5306 1.1015 11.3762 0.0000
LGDP.POP 1.5022 0.5458 2.7522 0.0250
LPPP -0.8843 0.3170 -2.7895 0.0236
Residual standard error: 0.1783 on 8 degrees of freedom
Multiple R-Squared: 0.5217
F-statistic: 4.363 on 2 and 8 degrees of freedom, the p-value is 0.05233
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