Table 4 Multiple linear regression functions: the effect of crop diversity on dietary diversity

Dependent variable: dietary diversity

Head of the household—female (1 = yes, 0 = no)

0.0247

0.0234

(0.0900)

(0.0862)

Age (years)

−0.00109

−0.00186

(−0.0770)

(−0.133)

Level of education for the respondent (primary level—dummy)

2.099**

2.086**

(2.509)

(2.568)

Secondary level—dummy

1.181*

1.142*

(1.717)

(1.740)

Higher secondary and above—dummy

0.983

1.056

(1.292)

(1.456)

Household size (number of family members)

−0.00954

−0.0116

(−0.144)

(−0.182)

Number of times met with public extension officers in last 4 months

0.206**

0.213**

(2.472)

(2.585)

Ownership of radio

0.324

0.246

(1.168)

(0.882)

Ownership of mobile

−0.0554

0.0164

(−0.176)

(0.0529)

Own farm area (acre)

0.0167

0.0123

(1.628)

(1.424)

Ln monthly food expenditure

0.358**

0.426***

(2.362)

(2.695)

Ln monthly non-food expenditure

0.0154

−0.0108

(0.103)

(−0.0722)

Ln revenue generated from crop sales per transaction (crop income)

3.107*

0.387*

(1.792)

(1.655)

Simpson’s Index

−1.207*

10.16*

(−1.957)

(1.664)

Interaction effect between SI * crop income

−0.868*

(−1.845)

Access to credit (dummy 1 = yes, 0 = no)

0.565

0.722**

(1.583)

(2.058)

Kiteto

−0.139

−0.141

(−0.418)

(−0.415)

Kongwa

−0.163

−0.170

(−0.493)

(−0.504)

Square of Ln revenue generated from crop sales per transaction (crop income)

−0.121*

(−1.783)

Constant

−18.81

−4.522

(−1.623)

(−1.084)

Observations

200

200

R-squared

0.180

0.181