9. A 26-2 fractional factorial experiment was conducted in a semiconductor manufacturing process. The Y response was transistor gain. a) Plot the normal half effects plot. Hypothesize the statistically significant predictors. b) Following the Principle of Hierarchical Order, reduce the model to the statistically significant predictors. Statistical tests are to be at = 0.05 significance level. What is the regression equation? c) Create main effects and interactions plots. If the goal is to maximize transistor gain, what predictor setting (+1, -1) should be used? What is the predicted transistor gain using these predictor settings? d) Analyze the residuals and comment on model adequacy. Test Condition Run Order 1 ae bef 2850 A B C D E F Gain 1455 1511 1487 1596 1430 1481 1458 1549 1454 1517 1487 1596 1446 1473 1461 1 1563 abf 9 cef 3 acf 14 bc 11 abce 10 df 15 adef 13 bde 1 abd 6 cde acd bcdf abcdef 2176