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A second course in statistics regression analysis 7th by mendenhall ch08

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8- 28Figure 8.16 MINITAB regression printout for second-order model of natural log of salary... 8- 29 Figure 8.17 MINITAB residual plot for second-order model of natural log of salary.

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Chapter 8

Residual

Analysis

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Section 8.1

Introduction

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Section 8.2

Regression

Residuals

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Figure 8.1 Actual random error  and

regression residual  ^

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Figure 8.2 SAS printout for

first-order model

continued on next slide

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Figure 8.2 SAS printout for

first-order model (cont’d)

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Figure 8.3 SAS printout for quadratic

(second-order) model

continued on next slide

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Figure 8.3 SAS printout for quadratic

(second-order) model (cont’d)

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Section 8.3

Detecting

Lack of Fit

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Figure 8.4 SAS plot of residuals for

the first-order model

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Figure 8.5 MINITAB plot of cholesterol

data with least squares line

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Figure 8.6 SAS plot of residuals for

the quadratic model

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Figure 8.7 SPSS regression

printout for demand model

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Figure 8.8 SPSS plot of residuals

against price for demand model

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Figure 8.9 SPSS partial residual

plot for price

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Figure 8.10 SPSS regression printout

for demand model with transformed price

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Section 8.4

Detecting

Unequal

Variances

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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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Figure 8.13 A plot of residuals for data

subject to multiplicative errors

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Figure 8.14 MINITAB regression

printout for second-order model of salary

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Figure 8.15 MINITAB residual plot

for second-order model of salary

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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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Figure 8.19a SAS regression printout for

second-order model of salary: Subsample

1 (years of experience < 20)

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Figure 8.19b SAS regression printout for

second-order model of salary: Subsample

2 (years of experience > 20)

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Section 8.5

Checking the

Normality

Assumption

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Figure 8.20 MINITAB histogram of

residuals from log model of salary

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Figure 8.21 MINITAB stem-and-leaf

plot of residuals from log model of salary

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Figure 8.22 MINITAB normal probability

plot of residuals from log model of salary

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Figure 8.23 MINITAB regression

printout for model of fast-food sales

continued on next slide

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Figure 8.23 MINITAB regression printout

for model of fast-food sales (cont’d)

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Figure 8.24 MINITAB plot of

residuals versus traffic flow

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Figure 8.25 MINITAB plot of

residuals versus city

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Figure 8.26 MINITAB regression printout

for model of fast-food sales with corrected

data point

continued on next slide

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Figure 8.26 MINITAB regression printout

for model of fast-food sales with corrected

data point (cont’d)

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Figure 8.27 MINITAB plot of residuals

versus traffic flow for model with

corrected data point

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Figure 8.28 MINITAB plot of residuals

versus city for model with corrected data

point

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Figure 8.29 SAS regression analysis

with influence diagnosis for fast-food

sales model

continued on next slide

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Figure 8.29 SAS regression analysis

with influence diagnosis for fast-food

sales model (cont’d)

continued on next slide

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Figure 8.29 SAS regression analysis

with influence diagnosis for fast-food

sales model (cont’d)

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Figure 8.30 SAS regression

printout for model of annual sales

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Figure 8.31 SAS plot of residuals

for model of annual sales

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Figure 8.32 Rejection region for the

Durbin-Watson d-test: scale example

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