Simple Logistic Regression with One Categorical Independent Variable in SPSS

[@guycoolhai]

The Cox & Snell R square is taken on a range between 0 and 0.75 and the Nagelkerke R square is taken between 0 and 1. That's why C&S < Nagelkerke all the time. Therefore the 12.6% of the variance of the dependent variable is explained by the model and not 7.9%.

[@hanshoel]

Great video, however I would have appreciated a simpler example, the variables exampled here are kind of confusing for fully understanding the outcome

[@lezinho92]

Thanks for the excellent content. How should we report the data for a scenario where we have a categorical variable with three or more categories (2 or more dummies), where SPSS will generate a row with different Beta and significance for each dummie? I have seen articles where this scenario happens and only one row (Beta/significance) is reported to represent the whole variable. Thank you.

[@MekdesGetachew-n4m]

Is that necessary to lable dependent and independent variables as 0and 1

[@judahokonkwo3866]

Thanks a lot

[@TranquilUniverseExploration]

Great video. But just have a question. in the table of "Variables in the Equation" (11':28'') How did you conclude that "Slot4(1)" was for yes , but not "slot4(2)"? Second, what is the use for the information in the next row (as for slot4(2)?

[@Nina3Music]

Thank you!

[@debashisdas4862]

how to perform logistic regression for more than one categorical independent variable?

[@JyotiPandey-en6jr]

same question

[@dr.sultanalsubaie9427]

Thank you

[@devez7]

and how do u right the final equation?