Table 1 Scaling relations for crime with relevant statistics
log10 (Dependent variable)=Scaling exponent*log10 (Independent variable)+intercept using ordinary least squares regression | ||||
|---|---|---|---|---|
Dependent variable | Independent variable | Scaling exponent (mean and 95% CI) | r 2 | P-value |
Total crimes in cities | City population | 1.26 [1.22, 1.30] | 0.65 | 1e-100 |
Total requests for police | City population | 0.96 [0.88, 1.05] | 0.60 | 1e-70 |
Sworn police number | City population | 0.82 [0.77, 0.88] | 0.69 | 5e-88 |
Police budget in cities | City population | 0.88 [0.81, 0.95] | 0.65 | 7e-80 |
Total crimes in universities | Enrolment size | 0.82 [0.76, 0.88] | 0.53 | 3e-98 |
Number of police in universities | Enrolment size | 0.56 [0.50, 0.61] | 0.37 | 2e-66 |
