Logistic Regression Using SPSS - Miami
Logistic Regression Using SPSS
Presented by Nasser Hasan - Statistical Supporting Unit
7/8/2020
nasser.hasan@miami.edu
Overview
? Brief introduction of Logistic Regression.
? Logistic Regression Analysis Using SPSS.
Logistic Regression Using SPSS
Overview
Logistic Regression
-
Logistic regression is used to predict a categorical (usually
dichotomous) variable from a set of predictor variables.
-
For a logistic regression, the predicted dependent variable is a function
of the probability that a particular subject will be in one of the
categories.
Logistic Regression Using SPSS
Overview
Logistic Regression - Examples
-
A researcher wants to understand whether exam performance (passed
or failed) can be predicted based on revision time, test anxiety and
lecture attendance.
-
A researcher wants to understand whether drug use (yes or no) can be
predicted based on prior criminal convictions, drug use amongst friends,
income, age and gender.
Logistic Regression Using SPSS
Overview
Logistic Regression - Assumption
1. Your dependent variable should be measured on a dichotomous scale.
2. You have one or more independent variables, which can be either
continuous or categorical.
3. You should have independence of observations and the dependent
variable should have mutually exclusive and exhaustive categories.
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