Logistic Regression Spss Output. The first table includes the chi square goodness of fit test. The relevant tables can be found in the section block 1 in the spss output of our logistic regression analysis.
We can reject this null hypothesis. We will show the entire output and then break up the output with explanation. Logistic regression is used to predict for dichotomous categorical outcomes.
Mixed heritage students will be labelled ethnic 1 in the spss logistic regression output indian students will be labelled ethnic 2 pakistani students ethnic 3 and so on.
We will start by showing the spss commands to open the data file creating the dichotomous dependent variable and then running the logistic regression. You will also see that never worked long term unemployed is the base category for sec and that each of the other sec categories has a parameter coding of 1 7 reflecting each of the seven dummy sec variables that spss has created. The first table includes the chi square goodness of fit test. Logistic regression yields adjusted odds ratios with 95 ci when used in spss.
