Simple model for three factors

The simplest model for data from a factorial experiment assumes that there is no interaction between the effects of any of the factors — each acts additively on the response. For an experiment with 3 factors, this implies that...

(mean response)   =   (base value)   +   (effect of factor A)   +   (effect of factor B )

+   (effect of factor C)

It must be stressed that the no-interaction assumption does not always hold. Indeed, one of the main attractions of factorial experiments is the ability to assess interactions between the factors.

Randomisation

As in all other experiments, it is important to remember that the treatments (factor combinations) should be randomly allocated to the experimental units — randomisation of the experiment.

Legume germination