SOC210 Lecture 16: Bivariate Association for Interval-ratio Variable
12 May 2017
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Document Summary
Soc 210 lecture 16 bivariate association for interval-ratio variable. Bivariate regression analysis provides us with the tools to express a relationship between two interval-ratio variables in a concise manner. Regression is related to the special characteristics of the mean: all scores cancel out around the mean, the mean is the point of minimized variation, the mean uses all scores. The term, regression , relates to sir francis galton (1822-1911) and his studies of pea plants. Visually display relationship between two interval-ratio variables. Dots represent cases and their intersection on the x and y variables. A single, straight line that summarizes the best fit pattern for data points. Formula: y = a + b x. The regression line indicates the strength and direction of a relationship between two variables. Sxy = the covariance of x and y, sx. Sxy = e (x- x ) (y- )/ (n-1), = e (x- x )2/ (n-1)
