highly significantp<0.0001
Model 3 addressed questions three and four, and fits significantly better than model 2 (likelihood-ratio chi-square = 16855.689–16712.490 = 143.2, which on 9 degrees of freedom is highly significant, p<0.0001).
Model 3 addressed questions three and four, and fits significantly better than model 2 (likelihood-ratio chi-square = 16855.689–16712.490 = 143.2, which on 9 degrees of freedom is highly significant, p<0.0001).
So, model 1 addressed the question of a possible trend in sedentary behaviour across days of the week (Monday is the reference day).