SOC202H1 Lecture Notes - Lecture 11: Canada 2006 Census, Analysis Of Variance, Contingency Table
Document Summary
Soc202h1s notes for class 12 3 april 2017: multiple regression, multiple iv to predict y, standardized varable in mutiples regression, medating, using dummy. We might consider using 2 separate regression equations to predict sentence length: one equation using priors as x and another equation based on age as x then adding together r2 values. 1. 00 (age-0. 692) 47% +(prioirs-. 852) 72: end up account for more than 100, age and priors also have an relationship, the x-values are highly correlated, can pick up overlapping contributions. Other way to frame it: what is association f priors with sentencing above and beyond contribution of age, what is the association of age with sentencing net of the contribution of priors. From our example, we could calculate a multiple regression equation predicting sentence lengths as follows: For each additional prior x1 tends to increase sentence length 2. 39 months, holding constant the defendant"s age. Increase in sentence length, holding constant the age.
