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Table 4 Model 2: negative binomial model for discretionary activity influences on robbery

From: Testing time-sensitive influences of weather on street robbery

 

IRR

2.5%

97.5%

p-value

Adjusted p-value

(Intercept)

3.438

2.048

5.751

<0.001

0.000

Sequential

1.000

1.000

1.000

<0.001

0.000

Mean temperature (°C)

1.013

1.005

1.020

0.001

0.006

Mean humidity

0.993

0.988

0.999

0.023

0.076

Mean wind speed (km per hour)

0.992

0.987

0.997

0.003

0.016

Proportion of fog

1.000

0.997

1.003

0.954

0.954

Proportion of rain

1.000

0.998

1.001

0.699

0.884

Proportion of snow

1.001

0.986

1.014

0.938

0.954

Early shift (4 am-10 am)

0.240

0.089

0.638

0.004

0.019

Mid shift (10 am-4 pm)

0.537

0.290

0.998

0.049

0.124

Late shift (4 pm-10 pm)

1.175

0.678

2.042

0.567

0.811

Weekend

0.467

0.328

0.664

<0.001

0.000

Public holidays

0.951

0.394

2.269

0.910

0.954

Int: mean temperature and early shift

0.974

0.961

0.988

<0.001

0.000

Int: mean temperature and mid shift

0.987

0.977

0.997

0.010

0.043

Int: mean temperature and late shift

0.977

0.968

0.986

<0.001

0.000

Int: mean temperature and weekend

1.000

0.993

1.008

0.942

0.954

Int: mean temperature and public holidays

1.021

0.999

1.043

0.063

0.151

Int: mean humidity and early shift

1.001

0.991

1.012

0.804

0.943

Int: mean humidity and mid shift

1.004

0.997

1.011

0.309

0.531

Int: mean humidity and late shift

1.001

0.995

1.007

0.833

0.943

Int: mean humidity and weekend

1.011

1.007

1.015

<0.001

0.000

Int: mean humidity and public holidays

0.996

0.987

1.005

0.412

0.681

Int: mean wind speed and early shift

1.011

1.002

1.020

0.021

0.076

Int: mean wind speed and mid shift

1.005

0.998

1.012

0.144

0.283

Int: mean wind speed and late shift

1.006

1.000

1.012

0.042

0.120

Int: mean wind speed and weekend

1.001

0.996

1.006

0.662

0.863

Int: mean wind speed and public holidays

1.004

0.992

1.016

0.523

0.803

Int: proportion of fog and early shift

0.996

0.990

1.001

0.141

0.283

Int: proportion of fog and mid shift

0.997

0.992

1.002

0.247

0.462

Int: proportion of fog and late shift

1.001

0.996

1.006

0.662

0.863

Int: proportion of fog and weekend

1.000

0.997

1.004

0.877

0.954

Int: proportion of fog and public holidays

1.007

1.000

1.014

0.032

0.098

Int: proportion of rain and early shift

1.001

0.998

1.004

0.462

0.736

Int: proportion of rain and mid shift

1.002

1.000

1.004

0.048

0.124

Int: proportion of rain and late shift

1.001

1.000

1.003

0.120

0.272

Int: proportion of rain and weekend

0.998

0.997

1.000

0.023

0.076

Int: proportion of rain and public holidays

1.002

0.998

1.006

0.300

0.531

Int: proportion of snow and early shift

0.997

0.977

1.016

0.780

0.943

Int: proportion of snow and mid shift

0.982

0.957

1.004

0.145

0.283

Int: proportion of snow and late shift

0.995

0.979

1.011

0.554

0.811

Int: proportion of snow and weekend

0.998

0.985

1.012

0.828

0.943

Int: proportion of snow and public holidays

0.991

0.952

1.021

0.585

0.811

  1. N.B. Cragg and Uhler pseudo R2 = 0.23, the 2x log likelihood = −36774.6.