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Table 2 Ordinary Least Square results for derechos

From: GIS-based regression modeling of the extreme weather patterns in Arkansas, USA

 

Variable

Coefficient

StdError

t-Statistic

Probability

Robust_SE

Robust_t

Robust_Pr

VIF

Event

Intercept

−32.346

2.3571

−13.7229

0.000000*

1.9912

−16.2441

0.000000*

Elevation

0.001

0.0016

0.6341

0.5260

0.0013

0.7589

0.4479

1.7764

Month

0.407

0.0650

6.2605

0.000000*

0.0620

6.5668

0.000000*

1.0309

TIME_ADJ

0.128

0.0258

4.9677

0.000001*

0.0248

5.1690

0.000001*

1.0270

AR_ECO_ID

0.024

0.0016

15.1470

0.000000*

0.0015

15.3767

0.000000*

1.3115

Protection

4.716

0.4971

9.4886

0.000000*

0.3091

15.2565

0.000000*

1.4236

Magnitude

Intercept

−423.667

41.0222

−10.3278

0.000000*

33.5516

−12.6273

0.000000*

Trailer Parks

2.423

0.5258

4.6078

0.000006*

0.5302

4.5697

0.000007*

1.1736

Event (Sum)

39.873

0.1577

252.7619

0.000000*

0.1959

203.5371

0.000000*

1.1379

Elevation

−0.425

0.0281

−15.1447

0.000000*

0.0255

−16.6968

0.000000*

1.8430

Month

4.531

1.1255

4.0255

0.000065*

1.0887

4.1618

0.000037*

1.0340

TIME_ADJ

1.603

0.4466

3.5889

0.000348*

0.4341

3.6920

0.000237*

1.0294

AR_ECO_ID

0.340

0.0284

11.9668

0.000000*

0.0272

12.5045

0.000000*

1.4518

Protection

61.355

8.6204

7.1175

0.000000*

6.3061

9.7296

0.000000*

1.4340

   

Joint Wald

Jarque-Bera

Koenker (BP) Statistic

AICc

Adjusted R2

  
   

409,245.6

5144.80

3643.4876

74,204.573

0.9857

  
  1. Results are initially derived from exploratory regression analysis of explanatory variables to determine variables that have had the most significant influence. Significant p-values (p< 0.01) are denoted by *, StdError is the standard deviation error, t-Statistic is the ratio between estimated and hypothesized values relative to StdError, probability and robust probability (Pr) are significant when (p<0.01), Koenker statistic determines significance of coefficients, and VIF is the variance inflation factor with values >7.5 are indicative of redundancy. Joint Wald determines overall significance if Koenker value is significant, AICc and R2 represent overall fit and performance