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Logistic Regression

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Overview

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This course explains logistic regression for predicting discrete outcomes, building on linear regression. It covers coefficients, maximum likelihood, R-squared, p-values, deviance, residuals, and implementation in R.

Syllabus

StatQuest: Logistic Regression.
Logistic Regression Details Pt1: Coefficients.
Logistic Regression Details Pt 2: Maximum Likelihood.
Logistic Regression Details Pt 3: R-squared and p-value.
Saturated Models and Deviance.
Deviance Residuals.
Logistic Regression in R, Clearly Explained!!!!.

Taught by

StatQuest with Josh Starmer

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