Assessment of Cassava Utilization Patterns, Postharvest Handling Practices, and Productivity Influencing Factors in South and Southwest Ethiopia

Table 4

Multiple linear regression analysis for variables predicting the productivity of cassava crop.

Variables	Coef.	Std. error	t-stat	Sig.	Tolerance	VIF
Constant	−3.685	1.816	−2.03	0.044
Education level of the HH head	1.117	0.398	2.81	0.006	0.741	1.35
Sex of the household head	−0.013	0.621	−0.02	0.983	0.765	1.31
Age of the household head in year	−0.006	0.022	−0.27	0.790	0.444	2.25
Family size in number	0.408	0.129	3.17	0.002	0.512	1.95
Land holding size in a hectare	0.398	0.157	2.53	0.012	0.714	1.40
Cropping system	1.364	0.287	4.76	0.000	0.656	1.52
Crop rotation	0.851	0.385	2.21	0.028	0.680	1.47
Earthing up rate in number	0.854	0.329	2.59	0.010	0.699	1.43
Cassavas prod. experience in years	0.028	0.029	0.99	0.325	0.543	1.84
Variety maturity period in months	0.409	0.057	7.17	0.000	0.650	1.54
Farm topography	−0.609	0.242	−2.52	0.013	0.304	3.29
Pests	−0.608	0.214	−2.84	0.005	0.286	3.50
Variety type	1.249	0.393	3.18	0.002	0.808	1.24
Product market price	0.600	0.413	1.45	0.148	0.685	1.46
Training participation rate	0.585	0.214	2.74	0.007	0.564	1.77
Population density in the number of plants per hectare	0.0003	0.001	2.12	0.035	0.570	1.75
Number of observations	200
F (16, 183)	35.14
Prob > F	0.000
R-squared	0.7545
Adj R-squared	0.7330
Mean VIF						1.82

Source: own computation result, 2022.