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Part 3: StatureI Hand Length: Foot LengthI and Gender Dataset: stature=hand=footcsv Source: S.G. Sani, E.D. Kizilkanat, N. Boyan, et al. (2005). Stature Estmation Based

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Part 3: StatureI Hand Length: Foot LengthI and Gender Dataset: stature=hand=footcsv Source: S.G. Sani, E.D. Kizilkanat, N. Boyan, et al. (2005). " Stature Estmation Based on Hand Length and Foot Length," Clinical Anatomy, Vol. 18, pp. 589-596. Description: Stature, hand length, and foot length among 80 males and 75 females. Data simulated to have equal means, SDs, and correlations. Variablestolumns 1D (w/in gender) 7-8 gender 16 l\" 1=M,2=F */ Stature (height, mm) 18-24 Hand length (mm) 2632 Foot length (mm) 3440 Fit a regression model, relating Stature to Hand Length, Foot Length and Female Indicator (Gender-1). Include interactions and quadratics in Hand and Foot Length. A. Select a parsimonious model based on minimizing AIC (this may be the Complete Model). B. Obtain a Plot of Residuals versus Fitted Values. Does the constant variance assumption seem reasonable? C. Obtain a Normal Probability Plot for the residuals. Does the Normality assumption appear to be reasonable? D. Conduct the Shapiro-Wilk Test for testing Ho: Errors are Normally Distributed. F\" Conduct the BreuschPagan Test for testing Ho: Errors have Constant Variance

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