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Table 2 Fitted linear model of agronomic and utilization practices of cowpea leaves on the availability of fresh vegetables

From: Trends and constraints of utilization of preserved cowpea leaves among households in arid and semi-arid lands in Kenya: a convergent mixed method study

Independent variables

Beta coefficient (β)

Standard error

Odds ratio

p-value

Intercept

 

3.26

1.59

 

0.042

Cropping seasons*

 

1.99

0.66

 

0.003

Production quantities*

 

0.00

0.00

 

0.467

Initiation of harvesting*

 

− 1.49

0.15

 

0.000

Priority crop

Yes

0.07

0.70

1.07

0.922

Noa

  

1.00

 

Agronomic performance of cowpea leaves

Produces only cowpea leaves

0.42

0.64

1.53

0.509

Gives more yields

− 2.66

1.74

0.07

0.126

Gives poor yields

− 0.63

1.41

0.53

0.656

More resistant to pest and diseasesa

  

1.00

 

Surplus production of cowpea leaves

Yes

0.15

0.46

1.16

0.741

Noa

  

1.00

 

Subsistent production of cowpea leaves

Yes

0.57

0.47

1.77

0.229

Noa

  

1.00

 

Varieties planted

Landrace

0.81

0.79

2.25

0.302

Improveda

  

1.00

 

Crops cultivated

Pulses

1.74

0.58

5.68

0.003

Tubers and root crops

− 4.83

3.91

0.01

0.217

Vegetables

0.50

0.68

1.65

0.462

Cerealsa

  

1.00

 
  1. Adjusted R-squared (AR) = 0.510
  2. aThe reference category of the categorical variable
  3. *Continuous variable. Dependent variables with p < 0.05 are significant predictors of availability of fresh cowpea leaves. The significant variables can be fitted in a linear model of \(y={B}_{0}+{B}_{1}{x}_{1}+\dots +{B}_{n}{x}_{n}\), where y is the dependent variable of period of availability of fresh leaves in weeks, \({B}_{0}\) is the intercept, \({B}_{1-n}\) are the beta coefficients independent predictors \({x}_{1-n}\)