Question: Consider the same study by Heffner et al. (1974) and the data set described in Problems 4 and 5, where the response measured was the
The ANOVA model for this situation is a modification of the model used in Problem 5, except that the effect of Factor A is split into individual components. The structure for the subject-specific scalar version of this model involves the following fixed-effect parameters and random effects:
μ = overall mean
αj; = jth fixed effect of IPR, j = 1, 2, 3
βk = kth fixed effect of PRS, k = 1,2
γl = lth fixed effect of Drug, l = 1, 2, 3, 4
(aβ)jk = fixed interaction effect of the jth level of IPR with the kth level of PRS
{aγ)jl = fixed interaction effect of the j'th level of IPR with the lth level of Drug
(βγ)kl = fixed interaction effect of the kth level of PRS and the lth level of Drug
{aβγ)Jkl = three-way fixed interaction effect for the (j, k, I) combination of IPR, PRS and Drug
Si(jk) = random effect of rat i within levels j and k of IPR and PRS, respectively
El(ijk) = random error of the lth level of Drug within levels j and k of IPR and PRS, respectively, for rat i
a. Using the computer output based on fitting the above model, carry out tests for main effects and interactions of each predictor in the model. (Assume that all such tests are orthogonal.) What do you conclude about whether or not the Drug factor has a significant effect on the response?
b. Use the output to test whether there is a significant random effect of the factor Rat.
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