Below is the ?L-H Het? table for the average slopes:
Auq (average slope of u coefficient of regression c on (u,u^2) Aubu (average slope of u coefficient of regression c on (u,e,u*e) Aubqu (average slope of u coefficient of regression c on (e,u,u*e,u^2)
Note that ?L-H Het? is a stronger condition than ?Het? in the previously posted table for Aube and Aubqe: in particular, for a fold to be ?L-H Het?, its C value must be L and its S value must be H.
So again, speaking from relative ignorance here, what we need to know to evaluate the signficance of the following table is the probability of L-H Het = 6 and the probability of L-H Het = 4. Also, I think there?s a more ?diffuse? probability that has to be calculated, namely that L-H Het < 3 for every R row. But you?ll have to decide whether this ?diffuse? probability might be significant.
Table:
a1 a3 b1 b47 c1 c2 "L-H C S C S c S c S C S C S Het"
N1 Auq L H L H L H L H L H L H 6 Aubu L H L H H H L H L H H H 2 Aubqu L H H L H H L L L H L H 3
N2 Auq L H H H L H H H L H L H 4 Aubu H H L H L H H H L H L H 4 Aubqu H H H L L H H H L H L H 3
N3 Auq L H H H H H L H L H L H 4 Aubu L H H H L L L H L H L H 4 Aubqu L H H H H H L H L H L H 4
R1 Auq H H L H H L H H H H H H 1 Aubu H H L H L H H H H H L L 2 Aubqu H H L H H L H H H H L L 1
R2 Auq H L H H L H H L L H L L 2 Aubu H H H H H L L L L H L L 1 Aubqu H L H H L H L L H H L L 1
R3 Auq L H H H H L L L L H L H 3 Aubu L H H H H L L L L H H L 2 Aubqu L H H H H L L L L H H L 2
