10.14 Table B.11 presents data on the quality of Pinot Noir wine. a. Build an appropriate regression model for quality y using the all- possible-regressions approach. Use Cp as the model selection criterion, and incorporate the region information by using indicator variables. 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 4.3 4.3 3.9 2.9 13.6 1 4.3 3.9 4.7 3.9 13.9 1 5.1 4.3 4.5 3.6 14.4 0.5 3.3 5.4 4.3 3.6 12.3 0.8 5.9 5.7 7 4.1 16.1 0.7 7.7 6.6 6.7 3.7 16.1 1 7.1 4.4 5.8 4.1 15.5 0.9 5.5 5.6 5.6 4.4 15.5 1 6.3 5.4 4.8 4.6 13.8 1 5 5.5 5.5 4.1 13.8 1 4.6 4.1 4.3 3.1 11.3 0.9 3.4 5 3.4 3.4 7.9 0.9 6.4 5.4 6.6 4.8 15.1 1 5.5 5.3 5.3 3.8 13.5 0.7 4.7 4.1 5 3.7 10.8 0.7 4.1 1 16 5.4 +4 4.1 4 9.5 5.7 4.7 12.7 1 4.3 4.6 4.7 4.9 11.6 1 3.9 4 5.1 5.1 11.7 1 5.1 4.9 1 3.9 4.4 55 5.1 11.9 5 4.4 10.8 1 4.5 3.7 2.9 3.9 8.5 1 5.2 4.3 0.8 4.2 3.8 53 4.7 69 10.7 9.1 1 3.3 3.5 4.3 4.5 12.1 1 6.8 5 6 5.2 14.9 0.8 5 5.7 5.5 4.8 13.5 0.8 3.5 4.7 4.2 3.3 12.2 0.8 4.3 5.5 3.5 5.8 10.3 0.8 5.2 4.8 5.7 3.5 13.2 -3132333333-2332232-22221131---