as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
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compare and contrast the differences between linear and logistic regression.
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linear regression and logistic regression are two commonly used statistical models. linear regression is used to predict continuous values, such as predicting the price of a house or the sales of a product, while logistic regression is used to predict categorical values, such as predicting whether a person belongs to a certain group or predicting a person's gender. linear regression takes a linear approach to modeling data, while logistic regression takes a non-linear approach by using a logistic (sigmoid) function to transform the target variable used in the model.
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