SOC350H5 Lecture Notes - Lecture 5: Explained Variation, Homicide, Confidence Interval
Document Summary
We want to interpret slope and if model is a good model explained variance. Because it"s a bivariate mode only one variable explaining. Conceptually there is no outcome that can be explained by just one variable. Multitude of factors other variables that are supposed to influence the dep variable. Control for other expected factors that would explain that outcome. To do so you have to do multivariate reg. Pay attention to slope, sig, r sq. Want to know if you make model better or worse when you add other variation. Stand coefficient allows you to talk about magnitude of effect. Which includes all the indep variable tha you pla on including. I des with multiple reg is to see what happens to dep variable as you add. You aren"t just putting in variables for just putting variables. This allows you to design models that speak to competing explanation for why things look the way they do.
