Linear models are a class of models in which a response variable is linearly related to one or more predictors.
Linear regression minimizes the squared difference between the actual values of the response and the predicted values from the model.
Global F-test, R-Squared, MSE, MAE, RMSE, Information Criteria (AIC, BIC)
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