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Copyright © 2012 Pearson Education, Inc. All rights reserved. Chapter 8 Residual Analysis
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.1 Introduction
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.2 Regression Residuals
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 4 Figure 8.1 Actual random error and regression residual ^
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 5
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 6
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 7 Figure 8.2 SAS printout for first- order model continued on next slide
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 8 Figure 8.2 SAS printout for first- order model (cont’d)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 9 Figure 8.3 SAS printout for quadratic (second-order) model continued on next slide
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 10 Figure 8.3 SAS printout for quadratic (second-order) model (cont’d)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.3 Detecting Lack of Fit
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 12 Figure 8.4 SAS plot of residuals for the first-order model
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 13 Figure 8.5 MINITAB plot of cholesterol data with least squares line
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 14 Figure 8.6 SAS plot of residuals for the quadratic model
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 15
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 16 Figure 8.7 SPSS regression printout for demand model
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 17 Figure 8.8 SPSS plot of residuals against price for demand model
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 18 Figure 8.9 SPSS partial residual plot for price
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 19 Figure 8.10 SPSS regression printout for demand model with transformed price
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.4 Detecting Unequal Variances
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 21 Figure 8.11 A plot of residuals for poisson data
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 22 Figure 8.12 A plot of residuals for binomial data (proportions or percentages)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 23 Figure 8.13 A plot of residuals for data subject to multiplicative errors
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 24
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 25
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 26 Figure 8.14 MINITAB regression printout for second-order model of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 27 Figure 8.15 MINITAB residual plot for second-order model of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 28 Figure 8.16 MINITAB regression printout for second-order model of natural log of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 29 Figure 8.17 MINITAB residual plot for second-order model of natural log of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 30 Figure 8.18 MINITAB regression printout first-order model of natural log of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 31 Figure 8.19a SAS regression printout for second-order model of salary: Subsample 1 (years of experience < 20)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 32 Figure 8.19b SAS regression printout for second-order model of salary: Subsample 2 (years of experience > 20)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.5 Checking the Normality Assumption
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 34 Figure 8.20 MINITAB histogram of residuals from log model of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 35 Figure 8.21 MINITAB stem-and-leaf plot of residuals from log model of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 36 Figure 8.22 MINITAB normal probability plot of residuals from log model of salary
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.6 Detecting Outliners and Identifying Influential Observations
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 38
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 39 Figure 8.23 MINITAB regression printout for model of fast-food sales continued on next slide
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 40 Figure 8.23 MINITAB regression printout for model of fast-food sales (cont’d)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 41 Figure 8.24 MINITAB plot of residuals versus traffic flow
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 42 Figure 8.25 MINITAB plot of residuals versus city
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 43 Figure 8.26 MINITAB regression printout for model of fast-food sales with corrected data point continued on next slide
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 44 Figure 8.26 MINITAB regression printout for model of fast-food sales with corrected data point (cont’d)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 45 Figure 8.27 MINITAB plot of residuals versus traffic flow for model with corrected data point
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 46 Figure 8.28 MINITAB plot of residuals versus city for model with corrected data point
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 47
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 48 Figure 8.29 SAS regression analysis with influence diagnosis for fast-food sales model continued on next slide
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 49 Figure 8.29 SAS regression analysis with influence diagnosis for fast-food sales model (cont’d) continued on next slide
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 50 Figure 8.29 SAS regression analysis with influence diagnosis for fast-food sales model (cont’d)
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Copyright © 2012 Pearson Education, Inc. All rights reserved. Section 8.7 Detecting Residual Correlation: The Durbin- Watson test
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 52
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 53 Figure 8.30 SAS regression printout for model of annual sales
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 54 Figure 8.31 SAS plot of residuals for model of annual sales
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 55
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 56 Figure 8.32 Rejection region for the Durbin-Watson d-test: scale example
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Copyright © 2012 Pearson Education, Inc. All rights reserved. 8- 57
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