Logistic Regression using Julia

How to conduct a Logistic Regression in Julia. Logistic Regression tests are utilized for predicting the likely outcome of a dichotomous categorical variable from one or more continuous or categorical variables. This video demonstrates what type of variables are relevant for the Logistic Regression test using a dataset derived from a survey instrument. The survey instrument is presented showing the items measuring the variables for the test. The dataset is shown within the statistical program being used for the test. The procedures for test are demonstrated. The output for the test is described. Chapters: 0:05 Statistical test name and description 0:19 Variable types and number 0:29 Survey instrument description for variable measurement and sample items 1:02 Conducting the statistical test 1:40 Examining the results of the statistical test 2:48 Where to find sample output For more information, visit: https://www.stat-tree.com/