. 2020 Aug 31;10:14303. doi: 10.1038/s41598-020-71094-8

Table 3.

The results of multiple linear regression analysis of climatic indices impacts on prevalence of malaria and meningitis.

Variable	Unstandardized coefficient	Standardized coefficient		Sig p-value	95.0% CI
Variable	B	Std. error	Beta	Sig p-value	Lower	Upper
Intercept
Malaria	1.098	0.292		0.000***	7.034	9.631
Meningitis	1.142	0.301		0.000***	6.345	10.234
Rainfall
Malaria	0. 640	0.082	0.601	0.001***	0.456	0.731
Meningitis	0.146	0.036	0.123	0.032**	0.127	0.262
Temperature
Malaria	0.055	0.032	0.085	0.041*	0.097	0.123
Meningitis	0.465	0.063	0.321	0.003***	0.274	0.531
Aerosol
Malaria	0.016	0.012	0.061	0.021**	0.021	0.103
Meningitis	0.587	0.071	0.402	0.000***	0.344	0.611
R² = 0.695	Adj.R² = 0.595		F-statistic = 32.142

This table demonstrates the multivariate regression analysis results where Malaria/ Meningitis = β0 + β1 (Rainfall) + β2 (Temperature) + ε. *, **, *** indicate significant at the 0.1, 0.05, and 0.01 levels respectively. CI, Confidence Interval.