POLI 30 Lecture Notes - Lecture 13: Electoral District, Confounding
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Participation = a + b*number of acts. # of parties = a + b*district magnitude. We use regression to examine the relationship between qualitative variables, in particular cases where the iv and dv are both interval or ratio. You need to be able to explain how we pick the best line or plane, interpret regression results, and use regression to assess confounding variable. All else equal, increasing income by k decreases corruption by. All else equal, increasing the percent catholic by 1 increases corruption by . 043. If income = 0 and percent catholic = 0 then we expect corruption to. R^2 = what percentage of the variance is explained by the variables. A dummy variable is a binary, categorical variable, with one category coded as. Ex: woman (1 for woman, 0 for man) Dummy variables can be treated as if they"re like other variables- nominal, ordinal, interval, or ratio. Adding up values gets you the number of 1"s.
