1. Linear regression is a powerful tool for predicting quantitative outcomes using a set of predictor variables.
2. It is important to understand the assumptions underlying linear regression in order to properly interpret the results.
3. Regularization techniques, such as LASSO and ridge regression, can help improve the
2. It is important to understand the assumptions underlying linear regression in order to properly interpret the results.
3. Regularization techniques, such as LASSO and ridge regression, can help improve the
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