How does linear regression differ from nonlinear regression?
- They differ in the accuracy of predictions
- They differ in the complexity of the model
- They differ in the number of outputs
- They differ in the number of variables used
Linear regression assumes a linear relationship between the dependent and independent variables, while nonlinear regression can model more complex relationships that are not strictly linear.
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