The following statements fit a cell-means model. See Figure 65.34 and Figure 65.35. proc transreg data=x ss2 short; title2 'Cell-Means Model'; model identity(y) = class(a * b / zero=none); output ...

Analysis of variance (ANOVA) is a statistical technique to analyze variation in a response variable (continuous random variable) measured under conditions defined by discrete factors (classification ...

In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group ...

The Factorial ANOVA task enables you to perform an analysis of variance when you have multiple classification variables. In this example, a factorial model is specified, and a plot of the two-way ...