POL 3371 Lecture Notes - Logistic Regression, Linear Regression, Coefficient Of Determination
Document Summary
Appropriate when the dependent variable is a dummy variable: dummy variable: a variable the includes two categories which assume values 1. March 25, 2014 and 0: example: voted : yes = 1, no = 0. Interpretation is similar to interpretation of unstandardized regression coefficients in linear regression: effect of ca change of one unit of an independent variable on the logged odds of the dependent variable. Statistical significance of a regression coefficient: statistically significant if p(obtained) < . 05 or . 01 or . 001, statistically non-significant if p(obtained) > . 05, for smaller samples . 1 level of statistical significance can also be used. R square analogs in logistic regression: power of independent variables in predicting the dependent variable. Cox & snell r square: ranges between 0 (no association) and less than 1 (perfect association) Nagelkerke r square: adjusts cox & snell r square so that its maximum value can equal 1, ranges between 0 (no association) and 1 (perfect association)