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BUEC 232 Full Course Notes
The dependent variables that measures the outcome of study: explanatory variable (x) The independent variable that explains or cause changes in response variables: strategy for exploring associations, start with graphical display (scatterplot, look for overall patterns and deviations from those patterns, add numerical summaries (least-square regression) If pattern is sufficiently regular, use a mathematical model to describe it: scatterplots. Shows the relationship between 2 quantitative variables measured on the same individual. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. How close are the points in the scatterplot lie to a simple form, e. g. line. 2 identify outliers and influential observations from the pattern. For relationships between a categorical variable and a numerical variable, Measures the direction and strength of the linear relationship between 2 quantitative variables r= 1 n 1 ( xi x. 1 correlation makes no distinction between explanatory and response variables.