![]() ![]() Her categories become dummy variables (e.g. I would expect the prediction equation to be = log(p/1-p) = b0 + b1*x1 + b2*x2 + b3*x3 + b3*x3+b4*x4 So she creating the dummy variables (parameter coding in the log regr window). In the Discriminant Analysis this works well but not in the Binary logistic regression - which is what her data requires her to do rather than a DF. The problem is that the prediction never works. I would expect to write a prediction equation to determine sex with a cut off of 0.5 (which is what we set in SPSS). The analyses work well for the regression itself but we seem unable to predict the sex of an "unknown". Her variables are ordinal (the scores for the development of said features) and her outcome binary is male or female. She is assessing the use of particular characters to infer sex. SHe is now picking this back up so she can submit her thesis. Since July my MSc student is having trouble with her binary logistic regression. ![]()
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