STAB22H3 Lecture Notes - Lecture 2: Simple Linear Regression, Linear Regression, Summary Statistics
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STAB22H3 Full Course Notes
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Chapter 6 : scatterplots, association and correlation p166. Plot values of two quantitative variables against each other (scatterplot). Outcome or response, and the other explains the outcome, an explanatory variable. Both scales range from 1 (low) to 20 (high). (statistics ,a tool for social research, Scatterplot of quality of life vs quality of education e f i. 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. The correlation r between x and y is r x x y y x x. 6: correlation requires both variables to be quantitative, because r uses standardized values of observations, it does not depend on units of measurements of x and y.