Use the DurbinWatson statistic given at the bottom of the Minitab output in Figure 15.9(c) to assess
Question:
Figure 15.9(c)
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SE Coef T-Value P-Value 0.01973 0.0001316 Predicted Values for New Observations 95% PI 0.01973 (5.96593, 6.20627) (5.95871, 6.19905) 0.01973 (6.10547, 6.34581) (6.07366, 6.31400) 0.01973 (6.07991, 6.32025) 0.01973 (6.21276, 6.45309) 6.44360 0.01973 (6.32343, 6.56377) 0.01973 (6.32665, 6.56699) 0.01973 (6.19588, 6.43622) 0.01973 (6.06498, 6.30531) (5.93438, 6.17472) 0.01973 (6.06028, 6.30062) Term Constant Coef SE Fit Fit 6.08610 4.69618 0.0103075 0.01903 0.000 Time 133 238.02 Time 78.30 0.000 0.439 0.951 0.01973 134 135 6.22564 6.19383 136 137 6.20008 138 Jan Feb March 0.02451 0.78 6.07888 0.02451 0.02450 0.02449 0.02449 0.00150 0.13795 0.06 5.63 3.91 3.75 8.75 0.01973 0.000 0.000 0.000 0.000 0.09583 0.09178 0.21432 April May June July Aug Sept Oct 6.33292 0.02448 0.02448 0.02448 0.02448 0.02447 139 0.31469 0.30759 0.16652 0.02531 -0.11559 12.85 0.000 140 6.44682 6.31605 141 6.18515 142 6.05455 143 6.18045 144 0.000 12.57 6.80 1.03 -4.72 0.000 0.303 0.000 0.01973 Nov 0.02447 S = 0.0573917 R-Sq(adj) = 98.1% Durbin-Watson statistic = 0.420944 R-Sq = 98.3%
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Related Book For
Business Statistics In Practice Using Data Modeling And Analytics
ISBN: 9781259549465
8th Edition
Authors: Bruce L Bowerman, Richard T O'Connell, Emilly S. Murphree
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