What is the difference between linear and logistic regression?
Linear regression is used for predicting continuous outcomes, while logistic regression is used for binary outcomes.
Can you give me an example of when to use each?
Sure! Use linear regression for predicting house prices and logistic regression for predicting whether an email is spam.
What are the assumptions behind each type of regression?
Linear regression assumes a linear relationship and homoscedasticity, while logistic regression assumes a binomial distribution of the outcome.
How do I interpret the coefficients in each model?
In linear regression, coefficients represent the change in the outcome for a one-unit change in the predictor. In logistic regression, they represent the log odds of the outcome.
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