Data for Analyze Factorial Design
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Enter up to 25 numeric response data columns that are equal in length to the design variables in the worksheet. Each row will contain data that corresponds to one run of your experiment. You can enter the response data in any columns that are not occupied by the design data. The number of columns that are reserved for the design data depends on the number of factors in your design.

If there is more than one response variable, Minitab fits separate models for each response.

Minitab omits missing data from all calculations.

Analyzing designs with botched runs

A botched run occurs when the actual value of a factor setting differs from the planned factor setting. When you have a botched run, you need to change the factor levels for that run in the worksheet. You can have botched runs only with two-level designs. You cannot have botched runs with general factorial designs. Minitab can automatically detect botched runs and analyze the data accordingly.