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Table 1 Multiple regression analysis result between fungal richness and climatic variables

From: Exploring the influence of climatic variables on mycobiome composition and community diversity in lichens: insights from structural equation modeling analysis

 

Coefficient

Std. Error

t value

p (whole)

p (1st bwd.)

VIF

(Intercept)

46.77

3242

0.01

0.99

  

bio1

11.92

20.96

0.57

0.57

  

bio2

-1.52

9.36

-0.16

0.87

  

bio3

115.58

37.76

3.06

0.003**

0.005***

4.6

bio4

3.47

0.95

3.66

0.05

  

bio5

61.29

14.57

4.21

0.011**

0.04*

21.03

bio6

-1.89

6.51

-0.29

0.77

  

bio7

-63.11

15.47

-4.08

0.009**

0.014**

21.61

bio8

-4.24

7.08

-0.6

0.55

  

bio9

0.11

0.92

0.12

0.91

  

bio10

-134.32

34.29

-3.92

0.006**

0.023**

28.17

bio11

45.37

16.49

2.75

0.07

  

bio12

3.32

1.53

2.17

0.05

  

bio13

-15.75

7.63

-2.06

0.05

  

bio14

NA

NA

NA

NA

  

bio15

NA

NA

NA

NA

  

bio16

NA

NA

NA

NA

  

bio17

NA

NA

NA

NA

  

bio18

NA

NA

NA

NA

  

bio19

NA

NA

NA

NA

  
  1. We conducted the multiple regression analysis based on back selection: statistically significant variables were chosen, and confirmed as independent variables after multicollinearity test with variance inflation factor. 1st bwd, p value achieved after the first backward selection; VIF, variance inflation factor