COMM 291 Lecture Notes - Lecture 6: Summary Statistics, Ellipse, Sophomore Slump

• School: UBC
• Department: Commerce
• Course: COMM 291
• Professor: Jonathan Berkowitz

Document Summary

Commerce 291 lecture notes jonathan berkowitz (copyright, 2014) In chapter 4 we examined the relationship between two categorical variables using contingency tables or crosstabs. Now we turn to examining relationships between two or more quantitative variables. Case an individual subject on which measurements are taken and recorded. Response variable a variable that measures the outcome; also called outcome variable or dependent variable . Explanatory variable a variable that tries to explain or predict the observed outcome; also called predictor variable or independent variable . Scatterplot a plot of ordered pairs (xi, yi) for each case, where the independent variable. X goes on the x-axis and the dependent variable y goes on the y-axis. For example, consider a graph of heights of fathers on the y-axis and the heights of sons on the x-axis. Each point on the scatterplot corresponds to one (father,son) pair. A scatterplot indicates the association between the response and explanatory variables;