Transcription of Scatter Diagrams Correlation Classifications
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Scatter Diagrams Correlation Classifications Scatter Diagrams are used to demonstrate Correlation between two Correlation can be quantitative variables. 19. classified into three basic Regression Plot 18. categories 19. Often, this Correlation is 17 18. linear. Linear 17. Weight 16. Weight 16. This means that a straight 15 Nonlinear 15. 14. line model can be No Correlation 14. 13. 13. developed. 12. 12. 20 21 22 23 24. Length 20 21 22 23 24. Length chapter 5 # 1 chapter 5 # 2. Correlation Classifications Correlation Classifications Two variables may be correlated but not through Curvilinear Correlation a linear model. 500 50. 400 Two quantitative 40. This type of model is 30. 300 variables may not be result 20. called non-linear 10. 200. correlated at all C4. 0. The model might be one 100 -10. -20. 0. of a curve. 0 5 10 15. -30. -40.
Chapter 5 # 3 Correlation Classifications • Two variables may be correlated but not through a linear model. • This type of model is called non-linear • The model might be one of a curve. 0 5 10 15 500 400 300 200 100 0 sample result Curvilinear Correlation Chapter 5 # 4 Correlation Classifications • Two quantitative variables may not be ...
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