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# Lec08 - The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL...

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© 2008 Haipeng Shen 2/5/08 Lecture 8 1 STOR 155 Introductory Statistics Lecture 8: Scatterplots, Correlation The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL

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© 2008 Haipeng Shen 2/5/08 Lecture 8 2 Relationships between Quantitative Variables Chapter 1 talks about distribution of one variable. Often we are interested in the relationships between two quantitative variables Examples: Heights of parents and children High school GPA and college GPA Football Hang Time and Return Yardage
© 2008 Haipeng Shen 2/5/08 Lecture 8 3 Chapter 2: Looking at Data – Relationships Association Response and explanatory variables Scatterplots Correlation

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© 2008 Haipeng Shen 2/5/08 Lecture 8 4 Association between Variables Two variables measured on the same individuals are associated if some values of one variable tend to occur more often with some values of the second variable .
© 2008 Haipeng Shen 2/5/08 Lecture 8 5 Positive vs. Negative Association

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© 2008 Haipeng Shen 2/5/08 Lecture 8 6 Examples The weight in kilograms and height in centimeters of a person. An insurance company reports that heavier cars have less fatal accidents per 10,000 vehicles than lighter cars do. A medical study finds that short women are more likely to have heart attacks than women of average height, while tall women have even fewer heart attacks.
© 2008 Haipeng Shen 2/5/08 Lecture 8 7 Response and Explanatory Variables A response variable (or dependent variable ) measures an outcome of a study An explanatory variable (or independent

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Lec08 - The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL...

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