What are the limitations of linear regression?
An example of an AI chatbot conversation about the limitations of linear regression.
What are the limitations of linear regression?
Linear regression assumes a linear relationship between variables, which may not always be true.
Can it handle non-linear relationships?
No, linear regression is not suitable for non-linear relationships without transformation or using polynomial regression.
What about multicollinearity?
Multicollinearity can distort the results, making it hard to determine the effect of each predictor.
Are there any assumptions I should be aware of?
Yes, linear regression assumes homoscedasticity, independence, and normality of residuals, among others.
When should I avoid using linear regression?
Avoid it when the relationship is non-linear, when data has outliers, or when assumptions are violated.
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