_________ attempts to classify a categorical outcome as a linear function of explanatory variables.
A)Linear regression
B)Logistic regression
C)Classification model
D)Supervised learning

Question

Quizplus · Accepted Answer

Linear regression is used for continuous numerical outcomes, while logistic regression is used for categorical outcomes. A classification model is a general term for any model that attempts to classify outcomes, but logistic regression is a specific type of classification model that is linear in nature. Supervised learning refers to the process of learning a model from labeled data, which is a necessary component for both linear and logistic regression.

_________ Attempts to Classify a Categorical Outcome as a Linear