Page 371 - Six Sigma Demystified

Part 3 S i x S i g m a To o l S 351

Results

Regression analysis: Response versus Factor A, Factor B, Factor C
The regression equation is

Response = 45.6 + 0.288(factor A) – 0.380(factor B) + 0.0111(factor C)

Predictor Coef. SE Coef. T p VIF
Constant 45.57 17.29 2.64 0.022 —
Factor A 0.2879 0.1981 1.45 0.172 1.003
Factor B –0.3802 0.1181 –3.22 0.007 1.000
Factor C 0.01115 0.04863 0.23 0.823 1.003

S = 11.8641 R-Sq = 50.8% R-Sq(adj) = 38.5%
PRESS = 2964.16 R-Sq(pred) = 13.68%

analysis of Variance

SS MS F p
Regression 3 1744.7 581.6 4.13 0.032
Residual error 12 1689.1 140.8
Total 15 3433.8

Source df Seq SS
Factor A 1 280.8
Factor B 1 1456.5
Factor C 1 7.4

Obs. Factor A Response Fit SE Fit Residual St. Residual
1 14.7 19.00 15.22 6.50 3.78 0.38
2 44.2 35.12 42.03 5.27 –6.91 –0.65
3 14.9 23.29 33.89 5.54 –10.60 –1.01
4 15.3 21.89 34.94 6.12 –13.05 –1.28
5 44.9 34.02 24.13 5.48 9.89 0.94
6 14.7 35.70 32.91 5.85 2.79 0.27
(Continued)