Yue wang yuewang3 graduate 4 credit f it is not

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Yue Wang , yuewang3, graduate 4 credit f) It is not appropriate to test for main effect because the interaction term is significant. Because of hierarchy, we test for the main effect only if the interaction is not significant. g) Diagnostic plots are shown below: From the Figure 1 (Residue vs. Fitted) above, it still shows a flat behavior but the residuals for larger fitted value is apparently larger than smaller fitted values. This could indicates heteroscedasticity of the variance. From the Figure 3 (Scale- Location) above, we confirm that that the trend is not flat and so, we believe there is a problem of heteroscedasticity. Figure 2 (QQ plot) is very good, thus the normality holds. A suggestion for fixing the hetroscedasticity problem is to do transformation to the response. Taking inverse is one-way. The following diagnostic plot is after fixing.
STAT425-HW6 Yue Wang , yuewang3, graduate 4 credit Problem 2 a) There are 4 blocks in the eggprod data. In the help file, we know that “six pullets

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