Table 4. Coefficient table of Merino...

Table 4.

Coefficient table of Merino wool and White wool, all combined

Model	Unstandardised coefficients		Standardised coefficients	T	Sig.	95.0% confidence interval for B		Correlations			Collinearity statistics
Model	Β	SE	Beta	T	Sig.	Lower bound	Upper bound	Zero-order	Partial	Part	Tolerance	VIF
(Constant)	7.941	0.590		13.549	0.000	6.783	9.099
Staple length	0.022	0.002	0.262	9.733	0.000	0.018	0.026	0.359	0.292	0.226	0.745	1.343
Fibre diameter	−0.404	0.032	−0,379	−12.686	0.000	−0.467	−0,342	−0.197	−0.370	−0.295	0.606	1.650
Vegetable matter	0.083	0.047	0.046	1.746	0.081	−0.010	0.175	−0.219	0.055	0.041	0.784	1.276
Clean yield	0.111	0.006	0.523	17.315	0.000	0.098	0.123	0.543	0.477	0.403	0.593	1.686

Model	Unstandardisedcoefficients		Standardisedcoefficients	T	Sig.	95.0% confidenceinterval for B		Correlations			Collinearitystatistics
Model	Β	SE	Beta	T	Sig.	Lower bound	Upper bound	Zero-order	Partial	Part	Tolerance	VIF
(Constant)	7.941	0.590		13.549	0.000	6.783	9.099
Staple length	0.022	0.002	0.262	9.733	0.000	0.018	0.026	0.359	0.292	0.226	0.745	1.343
Fibre diameter	−0.404	0.032	−0,379	−12.686	0.000	−0.467	−0,342	−0.197	−0.370	−0.295	0.606	1.650
Vegetable matter	0.083	0.047	0.046	1.746	0.081	−0.010	0.175	−0.219	0.055	0.041	0.784	1.276
Clean yield	0.111	0.006	0.523	17.315	0.000	0.098	0.123	0.543	0.477	0.403	0.593	1.686

Notes:

Where: wool type = Merino wool and White wool, all combined; dependent variable = price (R/kg); β = (beta is the degree of change in the outcome variable for every 1 unit of change in the predictor variable); t = coefficient divided by the standard error; Sig = significance level. (sig=p < 0.05); VIF = variance inflation factors (determines level of multicollinearity)

Source: Authors’ own work

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