## Multiple Linear Regression #4

### Potential Problems: Heteroscedasticity, Collinearity, and More

This post is the fourth in a series on the multiple linear regression model. In previous posts, I explored the topic, including methods of relaxing various assumptions made by the model. I also performed a comparison of Python’s scikit-learn and statsmodels libraries for multiple linear regression.
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