![]() Tip: if you're interested in taking your skills with linear regression to the next level, consider also DataCamp's Multiple and Logistic Regression course! Regression Analysis: IntroductionĪs the name already indicates, logistic regression is a regression analysis technique. ![]() Next, you'll tackle logistic regresssion in R: you'll not only explore a data set, but you'll also fit the logistic regression models using the powerful glm() function in R, evaluate the results and solve overfitting.You'll also discover multinomial and ordinal logistic regression. You'll first explore the theory behind logistic regression: you'll learn more about the differences with linear regression and what the logistic regression model looks like.This R tutorial will guide you through a simple execution of logistic regression: It measures the relationship between the categorical dependent variable and one or more independent variables by estimating probabilities using a logistic function, which is the cumulative logistic distribution. ![]() It's a powerful statistical way of modeling a binomial outcome with one or more explanatory variables. Logistic regression is yet another technique borrowed by machine learning from the field of statistics. ![]()
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