Table 5.

Multiple linear regression analysis for total sugar content, assessed by the dependent variable Total Sugar% f.w. (Log₁₀) as a function of the different independent variables ¹. Regression Summary for dependent variable: Log₁₀ Total Sugar%, R = 0.67101272, R² = 0.45025808, Adjusted R² = 0.40953645, F (14,189) = 11.057, p < 0.00000, Std. Error of estimate: 0.10452.

N = 204	B *	Std. Err. of b *	b	Std. Err. of b	t (189)	p-Value
Intercept			8.936646	8.271868	1.08037	0.281356
Local/Prov. *	0.36478	0.178853	0.014216	0.006970	2.03954	0.042788
P annual (mm) *	−4.17974	1.371076	−0.003352	0.001100	−3.04851	0.002629
T annual (°C)	0.20738	0.116945	0.029438	0.016600	1.77335	0.077782
Altitude (m)	−0.23436	0.149311	−0.000202	0.000129	−1.56964	0.118171
Xerothermic index *	−0.40376	0.196952	−0.003293	0.001606	−2.05014	0.041732
Sun Exp. (1–8)	−0.03605	0.066087	−0.002118	0.003883	−0.54542	0.586106
Light (1–3)	0.00809	0.092425	0.002102	0.024016	0.08752	0.930354
Soil Texture (1–11)	0.18024	0.094916	0.009293	0.004894	1.89900	0.059088
pH (1–5) *	−0.46739	0.195788	−0.093108	0.039002	−2.38724	0.017962
Longitude	−0.05647	0.287082	−0.013405	0.068146	−0.19671	0.844268
Latitude	0.33393	0.212757	0.030505	0.019436	1.56956	0.118191
Humid Index (Ihu) *	3.63697	1.304984	0.024660	0.008848	2.78698	0.005863
Climat. Clas. Xero. * Ind. *	−0.22129	0.096013	−0.031799	0.013797	−2.30479	0.022265
Inland vs. Coast	−0.17945	0.273031	−0.054265	0.082564	−0.65724	0.511823

¹ Independent variables: local/provenance *, annual averages of precipitation * and temperature, altitude, xerothermic index *, sun exposure, light conditions, soil texture, soil pH *, longitude & latitude, allocation (inland vs. coast), humidity index *, climatic classification (according to xerothermic index) *. Bold values show independent variables * that contribute significantly (p < 0.05) to the total sugar content (dependent variable).