STAB22H3 Lecture Notes - Lecture 4: Dependent And Independent Variables, Scatter Plot
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STAB22H3 Full Course Notes
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Scatterplots: to display the relation between two quantitative variables. Sometimes, one of the two variables are an outcome or response and the other in an explanatory variable that we think explains the outcomes. When examining the relationship between two or more variables, we first think about whether some variables are response(dependent) variables and others explanatory (independent) variable. Describing scatterplots: look for overall pattern and striking deviations from that pattern the overall pattern of a scatterplot can be described by the form, direction, and strength of the relationship. An important kind of deviation is an outlier, an individual value that falls outside the overall pattern. Correlation requires both variable to be quantitative. Because r uses standardized value of observations, it does not depend on units of measurements of x and y. Positive r indicates positive association between the variables and negative r indicates negative association. R is not resistant, it is strongly affected by a few outliers.
