Binary Logistic Regression

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Binary Logistic Regression is a form of multivariate data analysis used for predicting dependent variables which is composed of binary outcomes (e.g. presence/absence, yes/no, agree/disagree). In contrast to Multiple Linear Regression, it uses dummy coding for its dependent variable (0,1).

Below are links to a Binary Logistic Regression learning activity using SPSS.

You can download the instructions and then take time to study the procedure using SPSS by using this dataset.

Use this reference for interpreting logistic regression results.

Or watch the video below:


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