1. Chapter 17 – Simple Linear Regression and Correlation
Statistics for Management and Economics-Sixth Edition Gerald Keller – Brian Warrack
Chapter 17 – Simple Linear Regression and Correlation

2. Figure 17. 1 Scatter diagram with regression line for Example 17.1
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Figure Scatter diagram with regression line for Example 17.1

3. Figure 17.2 Calculation of residuals in Example 17.1
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Figure Calculation of residuals in Example 17.1

4. Applet 18.1 Fitting the Regression Line
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Applet Fitting the Regression Line

5. Excel – Summary Output – Regression Statistics from Example 17.2
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Excel – Summary Output – Regression Statistics from Example 17.2

6. Minitab – Regression Analysis: Price versus Odometer from Example 17.2
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Minitab – Regression Analysis: Price versus Odometer from Example 17.2

7. Figure 17.3 Distribution of y given x
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Figure Distribution of y given x

8. Figure 17.4 Bivariate normal distribution
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Figure Bivariate normal distribution

9. Figure 17.5 Scatter diagram of entire population with β1 = 0
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Figure Scatter diagram of entire population with β1 = 0

10. © 2003 Brooks/Cole Publishing / Thomson Learning
Excel (See page 612 from Example 17.2) and this also includes Example 17.4

11. © 2003 Brooks/Cole Publishing / Thomson Learning
Minitab – (See Page 612 from Example 17.2) This also includes Example 17.4

12. Figure 17.6 Partitioning the deviation for i=5 in Example 17.1
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Figure Partitioning the deviation for i=5 in Example 17.1

13. Applet 19.1 Analysis of Regression Deviations
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Applet 19.1 Analysis of Regression Deviations

14. Excel- Summary Output Regression Statistics from Example 17.6
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Excel- Summary Output Regression Statistics from Example 17.6

15. Minitab-Regression Analysis: Nortel versus TSE from Example 17.6
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Minitab-Regression Analysis: Nortel versus TSE from Example 17.6

16. Excel – Prediction Interval from Example 17.7
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Excel – Prediction Interval from Example 17.7

17. Minitab – Predicted Values for New Observations from Example 17.7
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Minitab – Predicted Values for New Observations from Example 17.7

18. Figure 17.77 Interval estimates and prediction intervals.
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Figure Interval estimates and prediction intervals.

19. Excel – Foreign Index Funds: Solution
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Excel – Foreign Index Funds: Solution

20. Minitab – Correlations: US Index, Japanese Index
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Minitab – Correlations: US Index, Japanese Index

21. Excel – Spearman Rank Correlation from Example 17.8
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Excel – Spearman Rank Correlation from Example 17.8

22. Minitab – Correlations: Rank apt, Rank Per from Example 17.8
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Minitab – Correlations: Rank apt, Rank Per from Example 17.8

23. Excel – Residual Output from 17.9 Regression Diagnostics – 1
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Excel – Residual Output from 17.9 Regression Diagnostics – 1

24. Minitab – From 17.9 Regression Diagnostics -1
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Minitab – From 17.9 Regression Diagnostics -1

25. Excel histogram of residuals for Example 17.2
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Excel histogram of residuals for Example 17.2

26. Figure 17.8 Plot of residuals depicting heteroscedasticity
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Figure Plot of residuals depicting heteroscedasticity

27. Figure 17.9 Plot of residuals depicting homoscedasticity
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Figure Plot of residuals depicting homoscedasticity

28. Excel plot of predicted values versus residuals for Example 17.2
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Excel plot of predicted values versus residuals for Example 17.2

29. © 2003 Brooks/Cole Publishing / Thomson Learning
Figure Plot of residuals versus time indicating autocorrelation (alternating)

30. © 2003 Brooks/Cole Publishing / Thomson Learning
Figure Plot of residuals versus time indicating autocorrelation (increasing)

31. Figure 17.12 Plot of residuals versus time indicating independence
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Figure Plot of residuals versus time indicating independence

32. Figure 17.13 Scatter diagram with one outlier
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Figure Scatter diagram with one outlier

33. Figure 17.15 Scatter diagram without the influential observation
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Figure Scatter diagram without the influential observation