POL222H1 Lecture 8: Examining Linear Regression

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16 Nov 2016
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There are two types of linear regression (lr: simple linear regression, which focuses on bivariate relationships. Bivariate relationship = a relationship strictly between two variables. E. g. a relationship between x and y: multiple linear regression, which focuses on multivariate relationships. Multivariate relationship = a relationship which concerns multiple variables, particularly confounding variables. E. g. a relationship between x and y, controlling for z. Lr can be used in either experimental or observational research studies. Lr, or other similar statistical methods, are necessities for controlling confounding variables in quantitative observational research, where there is a large "n" In bivariate relationships, x can only take 2 values: x=0 or x=1: observations are to be divided into differing x-values, from these values, the average of y for each value of x is calculated. This is the conditional average": how would y vary on average as x changes? . Exemplar: ideology and support towards an incumbent pm.

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