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Table B.11 contains data on the quality of Pinot Noir wine. Fit a regression model using clarity, aroma, body, fl avor, and oakiness as the

Table B.11 contains data on the quality of Pinot Noir wine. Fit a regression

model using clarity, aroma, body, fl avor, and oakiness as the regressors. Perform a residual analysis on this data set. Identify any outliers, influence points or leverage points.

table B.11 Wine Quality

Clarity,Aroma,Body,Flavor,Oakiness,Quality,Region 1,3.3,2.8,3.1,4.1,9.8,1 1,4.4,4.9,3.5,3.9,12.6,1 1,3.9,5.3,4.8,4.7,11.9,1 1,3.9,2.6,3.1,3.6,11.1,1 1,5.6,5.1,5.5,5.1,13.3,1 1,4.6,4.7,5,4.1,12.8,1 1,4.8,4.8,4.8,3.3,12.8,1 1,5.3,4.5,4.3,5.2,12,1 1,4.3,4.3,3.9,2.9,13.6,3 1,4.3,3.9,4.7,3.9,13.9,1 1,5.1,4.3,4.5,3.6,14.4,3 0.5,3.3,5.4,4.3,3.6,12.3,2 0.8,5.9,5.7,7,4.1,16.1,3 0.7,7.7,6.6,6.7,3.7,16.1,3 1,7.1,4.4,5.8,4.1,15.5,3 0.9,5.5,5.6,5.6,4.4,15.5,3 1,6.3,5.4,4.8,4.6,13.8,3 1,5,5.5,5.5,4.1,13.8,3 1,4.6,4.1,4.3,3.1,11.3,1 0.9,3.4,5,3.4,3.4,7.9,2 0.9,6.4,5.4,6.6,4.8,15.1,3 1,5.5,5.3,5.3,3.8,13.5,3 0.7,4.7,4.1,5,3.7,10.8,2 0.7,4.1,4,4.1,4,9.5,2 1,6,5.4,5.7,4.7,12.7,3 1,4.3,4.6,4.7,4.9,11.6,2 1,3.9,4,5.1,5.1,11.7,1 1,5.1,4.9,5,5.1,11.9,2 1,3.9,4.4,5,4.4,10.8,2 1,4.5,3.7,2.9,3.9,8.5,2 1,5.2,4.3,5,6,10.7,2 0.8,4.2,3.8,3,4.7,9.1,1 1,3.3,3.5,4.3,4.5,12.1,1 1,6.8,5,6,5.2,14.9,3 0.8,5,5.7,5.5,4.8,13.5,1 0.8,3.5,4.7,4.2,3.3,12.2,1 0.8,4.3,5.5,3.5,5.8,10.3,1 0.8,5.2,4.8,5.7,3.5,13.2,1 

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