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Scatter Diagrams Correlation Classifications

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 Scatter Plot • The scatter diagram for the temperature versus strength data allows us to deduce the nature of the relationship between these two variables 120 130 140 150 160 170 60 50 40 30 20 Scatter diagram of Strength vs Temperature Temperature (F) Strength (psi) What can we conclude simply from the scatter diagram? Chapter 5 # 18

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