Cross-country analysis of spambots

EURASIP Journal on Information Security

Table 5 OLS regression model: Indiana University [Spam]

Linear regression	Estimate	Standard error	Pr (>\|t\|)
(Intercept)	-11.657	2.622	≈0***
GDP per capita by PPP	0.059	0.403	0.883
Fixed broadband Internetsubscribers	0.705	0.172	≈0***
Fixed broadband Internetsubscribers (per 100 people)	-0.051	0.033	0.123
Internet users (per 100 people)	0.002	0.016	0.918
Secure Internet servers	0.242	0.212	0.257
Secure Internet servers(per one million people)	0.208	0.161	0.201
Computer, comm., and otherservices (% exports)	-0.002	0.010	0.835
Computer, comm., and otherservices (% imports)	-0.006	0.014	0.658
World governance indicators(WGI)	-0.007	0.003	0.0137 *

Significant codes: ‘***’ <0.001, ‘**’ <0.01, ‘*’ <0.05; residual standard error, 1.327 on 108 degrees of freedom; multiple R-squared, 0.7649; adjusted R-squared, 0.7453; F-statistic, 39.03 on 9 and 108 DF; p value, <2.2e-16.