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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

( Télécharger le fichier original )
par Anned-Linz SENADIN
UEH/FAMV - Ingénieur-Agronome 2006
  

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ANNEXE R : Résultat de l'analyse économétrique sur SPSS pour le type II

Correlations

Pearson
Correlation

 

Q

Z1

Z2

Z3

Q

1.000

-.773

.754

.750

Z1

-.773

1.000

-.420

-.530

Z2

.754

-.420

1.000

.423

Z3

.750

-.530

.423

1.000

Model Summaryb

Mode

R

R

Square

Adjusted

R

Square

Std.
Error of

the

Estimate

Change Statistics

R

Square
Change

F

Change

df1

df2

Sig. F
Change

1

.951a

.904

.875

7.148

.904

31.447

3

10

.000

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

b Dependent Variable: Q

ANOVAb

Model

Sum of
Squares

df

Mean Square

F

Sig.

1 Regression

4820.721

3

1606.907

31.447

.000a

Residual

510.993

10

51.099

 
 

Total

5331.714

13

 
 
 

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

b Dependent Variable: Q

30

Coefficientsa

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)

95.412

24.502

 

3.894

.003

40.819

150.005

 
 
 
 
 

Z1

-

171.072

50.694

-.403

-

3.375

.007

-

284.025

-58.120

-.773

-.730

-

.330

.673

1.487

Z2

3.423E-

03

.001

.436

3.898

.003

.001

.005

.754

.777

.382

.768

1.303

Z3

8.193E-

03

.003

.353

2.950

.015

.002

.014

.750

.682

.289

.671

1.491

a Dependent Variable: Q

Coefficient Correlationsa

Mode

Z3

Z2

Z1

1

Correlations

Z3

1.000

-.260

.428

Z2

-.260

1.000

.255

Z1

.428

.255

1.000

Covariances

Z3

7.716E-06

-6.349E-07

6.025E-02

Z2

-6.349E-07

7.708E-07

1.137E-02

Z1

6.025E-02

1.137E-02

2569.863

a Dependent Variable: Q

31

Collinearity Diagnosticsa

Model

Dimension

Eigenvalue

Condition
Index

Variance Proportions

(Constant)

Z1

Z2

Z3

1

1

3.755

1.000

.00

.00

.00

.01

2

.188

4.475

.00

.01

.00

.57

3

5.327E-02

8.396

.01

.02

.83

.23

4

3.676E-03

31.962

.99

.96

.16

.19

a Dependent Variable: Q

Casewise Diagnosticsa

Case Number

Std. Residual

Q

Predicted Value

Residual

1

-.288

40

42.06

-2.06

2

-.237

45

46.70

-1.70

3

-.278

47

48.99

-1.99

4

-.248

58

59.77

-1.77

5

1.796

65

52.16

12.84

6

-.636

72

76.55

-4.55

7

1.105

75

67.10

7.90

8

-.468

75

78.35

-3.35

9

.715

81

75.89

5.11

10

.476

84

80.60

3.40

11

-.621

95

99.44

-4.44

12

.222

97

95.41

1.59

13

.303

100

97.83

2.17

14

-1.840

48

61.16

-13.16

a Dependent Variable: Q

32

Histogram

Dependent Variable: Q

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 2.00

Regression Standardized Residual

Normal P-P Plot of Regression Standar Dependent Variable: Q

Expected Cum Prob

0.00

1.00

.75

.50

.25

0.00 .25 .50 .75 1.00

Observed Cum Prob

33

Partial Regression Plot
Dependent Variable: Q

Q

-10

-20

20

10

0

-.1 0.0 .1

Z1

Partial Regression Plot Dependent Variable: Q

Q

-10

-20

-30

20

10

0

Z2

-4000 -2000 0 2000 4000 6000

34

Partial Regression Plot Dependent Variable: Q

Q

-10

-20

20

10

0

-2000 -1000 0 1000 2000

Z3

35

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