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Unformatted text preview: should be analyzed as such 3 K Designs • 3 Levels of k factors – (low, medium, high) or – (1 , 0 , 1) • (See figures 91, 92) • From the designs where all factors are quantitative, we can create a regression model. For 2 factors, this would be ε β + + + + + + = 2 2 22 2 1 11 2 1 12 2 2 1 1 ˆ x x x x x x y 3 K Designs • Note, however, if you have a quadratic design (one with curvature), it is more effective to use an RSM design. • Also, centerpoints in a 2 K design can show if curvature exists and is cheaper than running a 3K design. 3 K Designs • Main effects have 2 df’s • 2 factor interactions have 4 df’s (SS AB for LXL, LXQ, QXL and QXQ effects) • 3 factor interactions have 8 df’s • For n replicates, there n*3 K1 total df’s + 3 K (n1) df’s for error...
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This note was uploaded on 08/27/2011 for the course EIN 4905 taught by Professor Staff during the Spring '08 term at University of Florida.
 Spring '08
 Staff

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