If data from a factorial design are plotted via a line graph, which type of lines would always demonstrate NO INTERACTION between the independent variables?
A. Lines that are parallel
B. Lines that cross
C. Lines that move away from one another

If the lines are parallel, it indicates that the effect of one independent variable does not depend on the levels of the other independent variable. In contrast, non-parallel lines suggest an interaction effect, where the impact of one variable changes across different levels of the other variable. So, in summary, parallel lines indicate no interaction, while non-parallel lines signal an interaction effect.

If data from a factorial design are plotted via a line graph, which type of lines would always demonstrate NO INTERACTION between the independent variables? A. Lines that are parallel B. Lines that cross C. Lines that move away from one another

Answer :

Other Questions

If data from a factorial design are plotted via a line graph, which type of lines would always demonstrate NO INTERACTION between the independent variables?
A. Lines that are parallel
B. Lines that cross
C. Lines that move away from one another