Note that the odds ratios are simply the exponentiated coefficients from the logit model. B is the coefficient, SE is the standard error corresponding to B, Wald is the chi-square distributed test statistic, and Sig. The \(R^2\) measures are two different attempts at simulating the \(R^2\) from linear regression in the context of a binary outcome. The second box provides overall model fit information. More information would be present if we had instead requested a stepwise model (that is, fitting subsequent models, adding or removing independent variables each time). Note the values are all the same because only a single model was estimated. We are usually interested in the individual variables, so the omnibus test is not our primary interest. The first box reports an omnibus test for the whole model and indicates that all of our predictors are jointly significant.
0 Comments
Leave a Reply. |