Culture de bambou avec la fédération des associations caféières natives (facn) à Marmelade: motivations économiques et d?auto-subsistance et contribution au revenu global des exploitations agricoles

ANNEXE S : Résultat de l'analyse économétrique sur SPSS pour le type III

Correlations

Pearson Correlation			Z1	Z2	Z3
	Q	1.000	-.845	.740	.774
	Z1	-.845	1.000	-.500	-.537
	Z2	.740	-.500	1.000	.393
	Z3	.774	-.537	.393	1.000

Model Summary^b

Model

	R	R Square	Adjusted R Square	Std. Error of the Estimate	Change Statistics
					R Square Change	F Change	df1	df2	Sig. F Change
1	.976^a	.952	.937	5.132	.952	65.880	3	10	.000

a Predictors: (Constant), Z₃ , Z₂ , Z₁

b Dependent Variable: Q

ANOVA

F

Model

		Sum of Squares	df	Mean Square		Sig.
1	Regression	5205.475	3	1735.158	65.880	.000
	Residual	263.383	10	26.338
	Total	5468.857	13

a Predictors: (Constant), Z₃ , Z₂, Z₁

b Dependent Variable: Q

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Coefficients

Model	Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95% Confidence Interval for B		Correlations			Collinearity Statistics
	B	Std. Error	Beta			Lower Bound	Upper Bound	Zero- order	Partial	Part	Tolerance	VIF
1(Constant	118.57
)	5	13.305		8.912	.000	88.930	148.220
	-
Z1	160.31	31.090	-.457	-5.157	.000	-229.588	-91.043	-.845	-.852	-.358	.613	1.631
	5
Z2	1.068E -03	.000	.360	4.425	.001	.001	.002	.740	.814	.307	.728	1.373
Z3	6.541E -03	.001	.387	4.637	.001	.003	.010	.774	.826	.322	.691	1.447

a Dependent Variable: Q

Coefficient Correlations

Model			Z3	Z3	Z3
1	Correlations	Z3	1.000	-.171	.427
		Z2	-.171	1.000	.372
		Z1	.427	.372	1.000
	Covariances	Z3	1.989E-06	-5.815E-08	1.873E-02
		Z2	-5.815E-08	5.824E-08	2.794E-03
		Z1	1.873E-02	2.794E-03	966.579

a Dependent Variable: Q

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Collinearity Diagnostics^a

Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
				(Constant)	Z1	Z2	Z3
1	1	3.647	1.000	.00	.00	.01	.01
	2	.220	4.075	.01	.03	.34	.06
	3	.127	5.360	.00	.00	.46	.66
	4	6.534E-03	23.626	.99	.97	.19	.27

a Dependent Variable: Q

Casewise Diagnostics

Case Number	Std. Residual	Q	Predicted Value	Residual
1	-1.106	70	75.68	-5.68
2	-.250	75	76.28	-1.28
3	-1.866	85	94.57	-9.57
4	.277	92	90.58	1.42
5	.612	97	93.86	3.14
6	-.409	108	110.10	-2.10
7	.809	120	115.85	4.15
8	.043	125	124.78	.22
9	.447	69	66.70	2.30
10	-.035	76	76.18	-.18
11	1.661	80	71.48	8.52
12	.418	132	129.85	2.15
13	-.868	90	94.45	-4.45
14	.266	93	91.63	1.37

a Dependent Variable: Q

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Histogram

Dependent Variable: Qbp

Frequency

6 5 4 3 2 1 0

Std. Dev = .88 Mean = 0.00 N = 14.00

-2.00 -1.50 -1.00 -.50 0.00 .50 1.00 1.50

Regression Standardized Residual

Qbp : quantité de bambous plantée

Normal P-P Plot of Regression Stan Dependent Variable: Qbp

Expected Cum Prob

0.00

1.00

.75

.50

.25

0.00 .25 .50 .75 1.00

Observed Cum Prob

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Partial Regression Plot Dependent Variable: Qbp

Qbp

-10

-20

20

10

0

-.2 -.1 0.0 .1

Autoconsommation

Partial Regression Plot Dependent Variable: Qbp

Qbp

-10

-20

20

10

0

-10000 0 10000 2000

RNA

Qbp : quantité de bambous plantée RNA : revenu non agricole

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