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| question_text,difficulty | |
| What is linear regression?,easy | |
| What is the difference between simple and multiple linear regression?,easy | |
| What is the primary cost function used in linear regression?,easy | |
| What do the slope and intercept represent in a simple linear regression model?,easy | |
| What is the R-squared metric and what does it tell you?,easy | |
| What are the four core assumptions of linear regression?,medium | |
| How do you handle categorical variables when building a linear model?,medium | |
| What is multicollinearity and how can you detect it?,medium | |
| Explain the difference between R-squared and Adjusted R-squared.,medium | |
| How does gradient descent work in the context of linear regression?,medium | |
| What are residuals and why is residual analysis important?,medium | |
| How do you derive the normal equation for ordinary least squares?,hard | |
| What are the specific consequences of violating the homoscedasticity assumption?,hard | |
| Explain the bias-variance tradeoff specifically for linear regression models.,hard | |
| How do Ridge and Lasso regularization modify standard linear regression?,hard | |
| How would you implement linear regression from scratch without using external libraries?,hard | |
| What happens to your regression model when the number of features exceeds the number of observations?,hard |