Channels, Fall 2017

Page 107 Channels • 2017 • Volume 2 • Number 1 Turkey Because there was a strong, positive linear correlation between inflows of asylum seekers and terrorism incidents for Turkey, a linear regression was run in order to determine whether the correlation would continue into 2016 if numbers increased. In addition, an f test was run to determine whether the differences between variables are not due to chance. If the f value exceeds the critical value, then we can say that the differences between inflows of asylum seekers and terrorism incidents are not due to chance. Relevant information for interpreting results are provided underneath the appropriate table. Lastly, further descriptive statistics are provided to round out the linear regression analysis. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate 1 .742 a .550 .518 71.346 a. Predictors: (Constant), Inflows Asylum Seekers By Thousands b. Dependent Variable: Terrorism Incidents ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 87105.112 1 87105.112 17.112 .001 b Residual 71263.888 14 5090.278 Total 158369.000 15 a. Dependent Variable: Terrorism Incidents b. Predictors: (Constant), Inflows Asylum Seekers By Thousands p <.05 df = 14