Applied Statistics and Probability for Engineers

456 CHAPTER 12 MULTIPLE LINEAR REGRESSION

Table 12-17 Minitab All Possible Regressions Output for the Wine Quality Data

Best Subsets Regression: Quality versus Clarity, Aroma,...

Response is Quality

O

C a

l F k

aA l i

rrBan

i oove

tmdos

Vars R-Sq R-Sq (adj) C–p S ya yr s

1 62.4 61.4 9.0 1.2712 XXXXX

1 50.0 48.6 23.2 1.4658 XXXXX

1 30.1 28.2 46.0 1.7335 XXXXX

2 66.1 64.2 6.8 1.2242 XXXXX

2 65.9 63.9 7.1 1.2288 XXXXX

2 63.3 61.2 10.0 1.2733 XXXXX

3 70.4 67.8 3.9 1.1613 XXXXX

3 68.0 65.2 6.6 1.2068 XXXXX

3 66.5 63.5 8.4 1.2357 XXXXX

4 71.5 68.0 4.7 1.1568 X XXXX

4 70.5 66.9 5.8 1.1769 XXXXX

4 69.3 65.6 7.1 1.1996 XXXXX

5 72.1 67.7 6.0 1.1625 XXXXX

3.675

9.9514.05

5.225

3.925

5.975

3.6

5.6

4.4

6.6

0.625

Quality

Clarity

Aroma

Body

Flavor

Oakiness

0.875

9.95

14.05

0.6250.875 4.4 6.6 3.6 5.6 3.9255.975 3.6755.225

Figure 12-12

A Matrix of Scatter

Plots from Minitab for

the Wine Quality Data.

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