2.1-2.2 - Looking at data relationships Two variables measured at the same individuals Both variables are quantitative One quantitative one

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Unformatted text preview: Looking at data: relationships Two variables measured at the same individuals Both variables are quantitative One quantitative, one categorical Both variables are categorical Graphical and numerical summaries (scatter plot, correlation, etc.) Look for patterns and deviations from patterns Student Beers Blood Alcohol 1 5 0.1 2 2 0.03 3 9 0.19 6 7 0.095 7 3 0.07 9 3 0.02 11 4 0.07 13 5 0.085 4 8 0.12 5 3 0.04 8 5 0.06 10 5 0.05 12 6 0.1 14 7 0.09 15 1 0.01 16 4 0.05 Two quantitative variables for each of 16 students. 1) How many beers they drank, and 2) Their blood alcohol level (BAC) We are interested in the relationship between the two variables: How is one affected by changes in the other one? Student Beers BAC 1 5 0.1 2 2 0.03 3 9 0.19 6 7 0.095 7 3 0.07 9 3 0.02 11 4 0.07 13 5 0.085 4 8 0.12 5 3 0.04 8 5 0.06 10 5 0.05 12 6 0.1 14 7 0.09 15 1 0.01 16 4 0.05 Scatterplots In a scatterplot, one axis is used to represent each of the variables, and the data are plotted as points on the graph. Explanatory and response variables...
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This note was uploaded on 09/04/2010 for the course STAT 131 taught by Professor Isber during the Spring '08 term at University of California, Berkeley.

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2.1-2.2 - Looking at data relationships Two variables measured at the same individuals Both variables are quantitative One quantitative one

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