Table 4. Multiple linear regression... | Emerald Publishing

Table 4.

Multiple linear regression model: the impact of climate change on economic development (values in growth %)

Model summary – GDP per capita % growth
Model	R	R²	Adjusted R²	RMSE
aaaa	0.0000	0.0000	0.0000	8.2420
H₀	0.8880	0.7880	0.7840	3.8350

ANOVA
Model		Sum of squares	df	Mean square	F	p
H₁	Regression	16,587.06	6.00	2764.51	187.99	< 0.001
	Residual	4470.56	304.00	14.71
	Total	21057.62	310.00

Coefficients					95% Confidence Interval
Model		Unstandardised	SE	Standardized	t	p	Lower	Upper
H₀	(Intercept)	0.118	0.041		2.896	0.004	0.038	0.198
H₁	(Intercept)	0.042	0.020		2.128	0.034	0.003	0.080
	Net greenhouse gas emissions % growth	1.535	0.056	1.082	27.587	< 0.001	1.426	1.645
	Final energy consumption % growth	0.221	0.099	1.018	2.222	0.027	0.025	0.416
	Production in industry % growth	(1.835)	0.231	(0.491)	(7.929)	< 0.001	(2.291)	(1.380)
	Cooling and heating degree days % growth	(0.228)	0.083	(0.271)	(2.759)	0.006	(0.390)	(0.065)
	Volume of freight transport % growth	(0.015)	0.095	(0.006)	(0.155)	0.877	(0.201)	0.172

Source: Authors’ own computation in JASP Software