You operate a travel advisory website, and want to give your users advice on airline timeliness. you select 3 airlines, and monitor their delays at 5 airports. you record average delay times for each airline, at each airport. then, you run a 2-way anova and get the following partial result:
anova results
source of variance ss df ms f
airline 409
airport 238
error
total 686
(a) what is the f-static for variability associated with airlines?
(b) if you're testing for significant effects at the 0.01 level of significance, what would be the critical value of f for assessing the effect of airlines?
(c) is the effect of airlines significant at the 0.01 level of significance?
(d) is the effect of airports significant at the 0.01 level of significance?