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"A. Linear regression predicts continuous outcomes and models a linear relationship between the dependent and independent variables. Logistic regression, on the other hand, is used for binary classification problems and models the probability of a binary outcome using a logistic function, resulting in outputs between 0 and 1."
<https://www.analyticsvidhya.com/blog/2021/05/5-regression-algorithms-you-should-know-introductory-guide/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2023/11/googles-bard-can-now-watch-and-answer-questions-about-youtube-videos/>