At the low temperature, Cn looks flat and Ct looks moderate. At the high temperature, Cn changes slope to a medium negative, and Ct becomes much steeper. The model fits all the two-factor interactions, which exhausts the degrees of freedom and leaves no room to estimate error. Rather than look at significance tests, it is useful to look at the distribution of the estimates over the effects with a normal plot. The effects in a normal plot are shown below to the right.
Important factors stray from the line.
The factors F and A are not important. The Screening model platform can give you an interaction plot. To look more closely at the important factors and their interactions, rerun the model with the three factors T, Ct and Cn and their interactions. In an interaction plot, evidence of interaction shows as non-parallel lines. For example, in the bottom middle plot, the effect of Cn is very small at the low values of temperature, but diverges widely for the high values of temperature.