Multilevel modelling and time series analysis in ... - ERSO - Swov

3.2 Classical linear regression modelsThe result (see the Output-window stated below) shows a highly significantdecrease in the count of fatalities; this is explained in the coefficients-table: The variable “Year/Month” is negative (-0.520 for the standardizedcoefficient Beta, the unstandardized coefficients can be used on the originaldata with fomula 3.2.1 in the corresponding chapter in the methodologyreport) and shows a very “high” significance of < 0.0001: a significancevalue of less than 0.05 means that the variation explained by the model isnot due to change.Furthermore, the regression model has a reasonable fit: The ANOVA table reports a significant F statistic because its significancevalue is below 0.05. R Square in the Model Summary table shows that the regression explains27.0% of the variance of the data.P r o j e c t c o - f i n a n c e d b y t h e E u r o p e a n C o m m i s s i o n , D i r e c t o r a t e - G e n e r a l T r a n s p o r t a n d E n e r g yP a g e 1 1 3