Cross-country analysis of spambots

EURASIP Journal on Information Security

Table 6 OLS regression model: Microsoft [Spambots]

Linear regression	Estimate	Standard error	Pr(>\|t\|)
(Intercept)	-4.057	2.592	0.123
GDP per capita by PPP	-0.133	0.392	0.736
Fixed broadband Internetsubscribers	0.255	0.125	0.046 *
Fixed broadband Internetsubscribers (per 100 people)	-0.019	0.025	0.469
Internet users (per 100 people)	-0.016	0.013	0.210
Secure Internet servers	0.388	0.146	0.010 *
Secure Internet servers(per one million people)	-0.011	0.198	0.954
Computer, comm., and otherservices (% exports)	0.002	0.008	0.742
Computer, comm., and otherservices (% imports)	0.018	0.010	0.062
World governance indicators(WGI)	-0.002	0.002	0.295

Significant codes: ‘***’ <0.001, ‘**’ < 0.01, ‘*’ <0.05; residual standard error, 0.8288 on 60 degrees of freedom; multiple R-squared, 0.6057; adjusted R-squared, 0.5466; F-statistic, 10.24 on 9 and 60 DF; p value, 2.284e-09.