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It's time to understand. LOGISTIC REGRESSION Wednesday 17th July 2019, 1.00pm 5.00pm Please RSVP by Tuesday 9th July 2019Logistic regression models are part of the family of generalized linear models
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Understand the concept of logistic regression and when it is used
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What is what is logistic regression?
Logistic regression is a statistical method to analyze a dataset with one or more independent variables that determine an outcome.
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Researchers, data analysts, and statisticians may be required to file logistic regression.
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To fill out logistic regression, one must first gather the necessary data, choose the appropriate model, and interpret the results.
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The purpose of logistic regression is to predict the probability of a binary outcome based on one or more independent variables.
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Information such as the dataset variables, coefficients, and p-values must be reported on logistic regression.
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