In *Example 4.6.1. Resistant line for the IO-CPU time*, we had `IO`

as the only independent variable which explained the variations of the `CPU`

time. In many practical problems, the dependent variable depends on more than one independent variable. In such cases, we need to factor the effect of such independent variables using a single model. When we have two independent variables, and *median polish* helps in building a robust model. A data display in which the rows and columns hold different factors of two variables is called a *two-way table*. Here, the table entries are values of the independent variables.

An appropriate model for the two-way table is given by:

Here, is the intercept term, denotes the effect of the *i*-th row, the effect ...

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