What are the limitations of linear regression?
Linear regression assumes a linear relationship between variables, which may not always be the case.
Can it handle non-linear relationships?
No, linear regression is not suitable for non-linear relationships without transformation of the data.
What happens if the assumptions are violated?
If assumptions like homoscedasticity or normality are violated, it can lead to biased estimates and unreliable predictions.
Are there better alternatives to linear regression?
Yes, alternatives like polynomial regression, decision trees, or neural networks can model complex relationships better.
How do I know if linear regression is appropriate for my data?
You can check the scatter plot of your data, look for linearity, and test the assumptions of linear regression.
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