SOC 325 Lecture Notes - Higher Education, Regression Analysis, Multivariate Analysis
29 Apr 2014
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Last two days of our class will be review. Further insight into a bivariate relationship, a 3rd variable. Assess the effects of two or more independent variables on the only ever be one dependent variable. Expand the number of independent variables but there will always. Use more than one independent variable to predict y. Disentangle and examine the separate effects of the independent. We will have a couple of different kinds of b"s. Assess the combined effects of the independent variables on y variables. For every independent variable you will have a different b. Where, b = the partial slope of the first independent variable on y (formula. 14. 4) (formula 14. 5) on y while controlling for the effect of the other independent variables b2= the partial slop of the second independent variable on y a = The partial slope: shows the effects of each independent variable.
