Extends the analysis of variance to models with two or more factor variables. By doing two-way and multiway analysis of the factor effects we can determine whether there are important interactions between the effects of different factors, e.g., gender differences in response to treatments. In Part 1 we consider balanced two-way designs, where obtain simple explicit expressions for the different terms in the fitted model as well as the partitioning of the total sum of squares into factor and residual sums of squares.
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