Farmer’s Perceptions of Agroforestry Practices, Contributions to Rural Household Farm Income, and Their Determinants in Sodo Zuria District, Southern Ethiopia

Table 6

Multiple regression results of the factor that influences the household’s farm income from AFP (N = 173).

Variables	Coef.	Std. error	T		95% confidence interval
Nlvs	7264.128	1526.274	4.71	0.000	4181.769	10218.44
Sex	−6904.221	4636.925	−1.49	0.138	−16062.13	2253.687
Age	−184.7911	406.3304	−0.45	0.650	−987.2922	617.71
Hh size	−4904.566	1812.1	−2.71	0.008	−8483.456	−1325.675
Land size	57406.97	10469	5.48	0.000	36730.74	78083.2
Education	−1383.846	2100.419	−0.66	0.511	−5532.166	2764.474
Accredit	−7454.015	3732.728	−2.00	0.068	−14826.14	−81.89176
Ext service	8184.581	3796.832	2.16	0.033	685.8523	15683.31
Ltenure	18057.6	12406.64	1.46	0.148	−6445.464	42560.67
Accomack	6002.7	3928.626	1.53	0.129	−1756.321	13761.72
Coopasso	−7755.468	4166.386	−1.86	0.075	−15984.06	473.1278
Labor	3457.84	2044.066	1.69	0.093	−579.1834	7494.863
Fm exp	1118.615	480.9569	2.33	0.021	168.7271	2068.503
_cons	−10458.65	18317.36	−0.57	0.569	−46635.36	25718.06

Dependent variable = household’s farm income, n = 173, R² = 0.755, adj-R² = 0.7446, and represents less than 1% significance level and represents less than 5% significance level, , root MSE = 23239, and F (13,159): 8.27 (source: model output from own survey, 2021).