Logistic regression is typically used for predicting what type of outcome?

• A. Probability of a Binary Outcome
• B. A Continuous Value
• C. Cluster Membership
• D. Association Strength

Answer: (A)

Modeling the probability that a binary outcome occurs given the predictors is what logistic regression does. It uses a logistic function to map a linear combination of features onto a probability between 0 and 1, making it ideal for binary classification tasks where you want the likelihood of the event happening. This output is not a continuous value across the real numbers (that would be linear regression), nor a cluster assignment (that's clustering), nor a measure of association strength (that relates to correlation). So the best interpretation is the probability of a binary outcome.