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# Section2.1posted - STOR 155 Section 2 Thur sday Januar y 21...

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Unformatted text preview: STOR 155, Section 2 Thur sday, Januar y 21, 2010 Chapter 2 I ntr oduction and Section 2.1 Chapter 2: Looking at data - relationships • I ntroduction: Associations between two variables • 2.1 – 2.3 Studying associations between quantitative variables – 2.1 Scatterplots – 2.2 Correlation – 2.3 Least-squares regression • 2.4 and 2.6: Pitfalls in interpretation – 2.4 Cautions – 2.6 Correlation and causation • [2.5 Two categorical variables: omitted] Chapter 2 I ntroduction Examples of two variables measured on the same individuals: – height and weight of each person in a study • both quantitative – location (urban, suburban, rural) and income for households • one categorical, one quantitative – gender and color preference of each person in a study • both categorical Note: Two separate datasets – e.g., one for heights, one for weights – can’t give us any information about the association between height and weight. We need one dataset that keeps together the height and weight of each individual. Main topic of this chapter: Associations between variables – Two variables are associated if knowing the value of one for an individual gives...
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## This note was uploaded on 06/12/2010 for the course STOR 155 taught by Professor Andrewb.nobel during the Spring '08 term at UNC.

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Section2.1posted - STOR 155 Section 2 Thur sday Januar y 21...

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