Is having 6 terms in a linear regression with n = 8 acceptable?
I am currently analyzing a full factorial experiment with 2 levels and 3 factors, unreplicated, n = 8. According to JMP guides, the proper methodology here would be to fit the model using factorial to degree 2, assuming higher order interactions are insignificant, before using backwards selection to reduce the model down to its significant factors. JMP guide for 2x2x2 full factorial analysis: http...