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Table 3 The result of global regression model and geographical variability test of local coefficients for six environmental factors

From: Spatial modelling of malaria cases associated with environmental factors in South Sumatra, Indonesia

Variables

Global regression model output

Geographical variability test

Estimate

SE

T value

P value

F

DOF for F test

DIFF of criterion

Intercept

7.98

4.63

1.72

0.04

33.20

10.48

261.38

− 347.99

“Altitude (X1)”

− 0.02

0.00

− 4.03

0.00

0.24

12.02

261.38

19.19

“Aspect (X2)”

− 0.01

0.01

− 1.60

0.05

0.55

22.68

261.38

24.91

“Distance from the river (X3)”

0.00

0.00

− 0.84

0.24

1.84

18.15

261.38

− 16.03

“Distance from lakes and pond (X4)”

0.00

0.00

0.39

0.71

0.90

15.04

261.38

7.99

“Distance from forest (X5)”

0.00

0.00

− 3.69

0.00

2.99

14.61

261.38

− 38.12

“Rainfall (X6)”

0.00

0.00

2.38

0.02

13.07

10.17

261.38

− 158.91