Can you explain the difference between linear and logistic regression?
Sure! Linear regression is used for predicting continuous outcomes, while logistic regression is used for binary outcomes.
What kind of data do I need for each type?
For linear regression, you need continuous data for both the dependent and independent variables. For logistic regression, the dependent variable should be categorical, typically binary.
Can you give me an example of each?
Absolutely! An example of linear regression could be predicting house prices based on size. An example of logistic regression could be predicting whether a student will pass or fail based on study hours.
How do I choose which one to use?
Choose linear regression when your outcome is continuous and logistic regression when your outcome is categorical. It depends on your data type!
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