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Table 3 Summary of regression models for 2013 and 2014

From: Estimating Ixodes ricinus densities on the landscape scale

 

β

SE

z

p

Model for 2013

 Intercept

61.8768

3.3075

18.7080

<0.001***

 H

0.0041

0.0003

12.9070

<0.001***

 T2013

2.5372

0.0818

31.0230

<0.001***

 RH

−0.8307

0.0377

−22.0370

<0.001***

 SD

−6.5349

0.2913

−22.4320

<0.001***

 Factor(LC) B

0.4321

0.0420

10.2880

<0.001***

 Factor(LC) C

−0.5305

0.0675

−7.8600

<0.001***

 Factor(LC) M

0.1773

0.0518

3.4260

<0.001***

Model for 2014

 Intercept

−0.7546

4.4926

−0.1680

0.867

 H

0.0021

0.0004

5.3510

<0.001***

 T2014

1.0116

0.1108

9.1280

<0.001***

 RH

−0.0601

0.0521

−1.1520

0.249

 SD

−0.6471

0.3934

−1.6450

0.100

 Factor(LC) B

0.0791

0.0487

1.6260

0.104

 Factor(LC) C

−0.3533

0.0731

−4.8340

<0.001***

 Factor(LC) M

−0.0318

0.0681

−0.4660

0.641

  1. For each explanatory variable the regression coefficient β, the standard error SE, the z-value (test statistics) and the p value (significance) are given. Note that land cover classifications A, B, C and M are categorical variables set to 0 (false) or 1 (true), from which class A was selected as default (β = 0).
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International Journal of Health Geographics

ISSN: 1476-072X