Select all correct statements that generalize the principles of linear regression: Group of answer choices Linear regression is a statistical method used for predicting a quantitative targets based on one or more feature variables. Linear regression can model interactions among targets to explore the combined effects on the feature. The process of fitting a linear regression model typically involves maximizing the sum of the squared differences between observed and predicted values. In the linear regression model, the coefficients represent the intercept and the rate of change of the targets with respect to the feature(s). The relationship between the feature(s) and the targets in linear regression is generally assumed to be linear