Table 3. Relationships between melanoma (CMM) incidence and depigmentation level within WHO Europe Region.

Table 3−1: Nonparametric (Spearman's)			Table 3−2: Partial Correlation		Table 3−3: Partial Correlation		Table 3−4: Partial Correlation		Table 3−5: Stepwise multiple linear regression (n = 50)
	ρ	n	r	df	R	df	r	df	Rank	Independent Variables	Adjusted R2
Depigmentation	0.696***	48	0.512***	44	0.315**	41	-	-	1	GDP PPP	0.642
UVR (Negative)	−0.677***	50	−0.425**	42	-	-	−0.006	41	2	Depigmentation	0.720
GDP PPP	0.823***	50	-	-	-	-	-	-	3	Ibs	0.768
Ibs	0.769***	50	-	-	-	-	-	-	4	Ageing	Insignificant
Ageing	0.675***	50	-	-	-	-	-	-	5	Urbanization	Insignificant
Urbanization	0.631***	50	-	-	-	-	-	-	6	UVR levels	Non-predictor

*Note: Variable kept statistically constant. Data sources: Melanoma of skin incidence rate from the International Agency for Research on Cancer, WHO agent in cancer research; Pigmentation from the previous publication [74]; UVR, expressed as the average daily ambient ultraviolet radiation level (in J/m²) & ageing (life e60) from the World Health Organization; GDP PPP & Urbanization from the World Bank; I_bs from the previous publication [61]). Stepwise multiple linear regression modelling was reported. Contribution of variables is listed in order of how much they contribute to Melanoma of skin incidence. Data sources: Melanoma of skin incidence rate from the International Agency for Research on Cancer, WHO agent in cancer research; Euro-peans % (percentage of European diaspora/descendants) from the corresponding government statistics or various publications; Pigmentation from the previous publication (See the section of Data Sources please); UVR, expressed as the average daily ambient ultraviolet radiation level (in J/m²) & ageing (life e60) from the WHO; GDP PPP & Urbanization from the World Bank; Ibs from the previous publication (See the section of Data Sources please).