14-4 TWO-FACTOR FACTORIAL EXPERIMENTS 51714-4.2 Model Adequacy CheckingJust as in the single-factor experiments discussed in Chapter 13, the residualsfrom a factorial
experiment play an important role in assessing model adequacy.The residuals from a
two-factor factorial areThat is, the residuals are just the difference between the observations and the corresponding
cell averages.
Table 14-8 presents the residuals for the aircraft primer paint data in Example 14-1. The
normal probability plot of these residuals is shown in Fig. 14-9. This plot has tails that do not
fall exactly along a straight line passing through the center of the plot, indicating some poten-
tial problems with the normality assumption, but the deviation from normality does not appear
severe. Figures 14-10 and, 14-11 plot the residuals versus the levels of primer types and ap-
plication methods, respectively. There is some indication that primer type 3 results in slightly
lower variability in adhesion force than the other two primers. The graph of residuals versus
fitted values in Fig. 14-12 does not reveal any unusual or diagnostic pattern.14-4.3 One Observation per CellIn some cases involving a two-factor factorial experiment, we may have only one replicate—
that is, only one observation per cell. In this situation, there are exactly as many parameters in
the analysis of variance model as observations, and the error degrees of freedom are zero. Thus,
we cannot test hypotheses about the main effects and interactions unless some additionaleijkyijkyij.Table 14-7 Analysis of Variance From Minitab for Example 14-1ANOVA (Balanced Designs)
Factor Type Levels Values
Primer fixed 3 1 2 3
Method fixed 2 Dip SprayAnalysis of Variance for Adhesion
Source DF SS MS F P
Primer 2 4.5811 2.2906 27.86 0.000
Method 1 4.9089 4.9089 59.70 0.000
Primer *Method 2 0.2411 0.1206 1.47 0.269
Error 12 0.9867 0.0822
Total 17 10.7178Table 14-8 Residuals for the Aircraft Primer Experiment in Example 14-1Application Method
Primer Type Dipping Spraying
1 0.27, 0.23, 0.03 0.10,0.40, 0.30
2 0.30,0.40, 0.10 0.27, 0.03, 0.23
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