1.
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Select DOE > Classical > Screening Design.
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In the Responses panel, there is a single default response called Y. Keep this as the default response.
2.
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This adds the variable X1 with levels L1 through L4.
3.
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This adds the variable X2, with levels L1 through L6.
4.
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Enter 11 next to Add N Factors.
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5.
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Click Continuous.
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6.
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Click Continue.
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7.
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Click Make Design.
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Note: The algorithm that generates the design uses a random starting design. To reproduce this design, save the script with the random seed by selecting Save Script to Script Window from the red triangle menu next to the report title.
9.
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Open the Design Evaluation > Color Map on Correlations outline.
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The color map (Figure 8.10) shows red entries (using JMP default colors) on the main diagonal, indicating correlations of one. This is because each diagonal cell corresponds to the correlation of a term with itself, which is one. Off-diagonal correlations are all deep blue, indicating that correlations between distinct terms are zero. Hold your mouse pointer over any cell to see the relevant terms and their absolute correlation.
Figure 8.10 Color Map on Correlations
10.
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Click Make Table to construct the design table.
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The table contains the runs for your experiment in random order. Conduct the experiment in this randomized order and insert the results in column Y. Run the Model script in the data table to analyze your results.