query: Why can $R^2$ be negative in linear regression -- interview question
positive_passages.docid: 149884
positive_passages.text: How can the MSE of predictions be greater than the variance of the response variable?
negative_passages.docid: 94798
negative_passages.text: Assumptions of linear regression
negative_passages.docid: 11880
negative_passages.text: When is it ok to remove the intercept in a linear regression model?
negative_passages.docid: 33034
negative_passages.text: Why squared residuals instead of absolute residuals in OLS estimation?
negative_passages.docid: 46076
negative_passages.text: Least Squares with $ {L}_{2} $ (L2) Linear Norm Regularization (Not Squared)
negative_passages.docid: 20835
negative_passages.text: Residuals correlated positively with response variable strongly in linear regression
negative_passages.docid: 155420
negative_passages.text: Why does adding more terms into a linear model always increase the r-squared value?
negative_passages.docid: 105136
negative_passages.text: relation between $R^2$ of simple regression and multiple regression
negative_passages.docid: 134109
negative_passages.text: Why does the degree of freedom of SSR equals 1 in simple linear regression
negative_passages.docid: 62345
negative_passages.text: Linear regression: Intercept isn't significant
negative_passages.docid: 94508
negative_passages.text: Can a mathematically sound prediction interval have a negative lower bound?
negative_passages.docid: 81547
negative_passages.text: Effect of switching response and explanatory variable in simple linear regression
negative_passages.docid: 110595
negative_passages.text: Linear regression with slope constraint
negative_passages.docid: 139242
negative_passages.text: Why are the Degrees of Freedom for multiple regression n - k - 1? For linear regression, why is it n - 2?
negative_passages.docid: 108610
negative_passages.text: How to derive the least square estimator for multiple linear regression?
negative_passages.docid: 7970
negative_passages.text: Why does the product of the bivariate regression coefficients of the $y$-on-$x$ line and $x$-on-$y$ line equal the square of the correlation?
negative_passages.docid: 144185
negative_passages.text: Negative y value in polar plot