query: Acceptable r-square value for multiple linear regression model
positive_passages.docid: 1265
positive_passages.text: Is my model any good, based on the diagnostic metric ($R^2$/ AUC/ accuracy/ RMSE etc.) value?
negative_passages.docid: 152417
negative_passages.text: Why to report R squared?
negative_passages.docid: 36565
negative_passages.text: Box-Cox transformation vs. predictor transformation in multiple linear regression
negative_passages.docid: 89583
negative_passages.text: Transforming variables for multiple regression in R
negative_passages.docid: 119752
negative_passages.text: R: different predictor p-value in linear and multi-linear models
negative_passages.docid: 122659
negative_passages.text: $R^2$ for mixed models with multiple fixed and random effects
negative_passages.docid: 18254
negative_passages.text: Is R-squared truly an invalid metric for non-linear models?
negative_passages.docid: 710
negative_passages.text: Importance of predictors in multiple regression: Partial $R^2$ vs. standardized coefficients
negative_passages.docid: 57879
negative_passages.text: Linear regression prediction interval
negative_passages.docid: 4503
negative_passages.text: Assumptions of linear models and what to do if the residuals are not normally distributed
negative_passages.docid: 92434
negative_passages.text: Hat matrix and leverages in classical multiple regression
negative_passages.docid: 99653
negative_passages.text: Resources suggestion about linear model
negative_passages.docid: 91745
negative_passages.text: Can we calculate the standard error of prediction just based on simple linear regression output?
negative_passages.docid: 56500
negative_passages.text: Diagonal straight lines in residuals vs fitted values plot for multiple regression
negative_passages.docid: 125679
negative_passages.text: Weighted Root Mean Square Error
negative_passages.docid: 105536
negative_passages.text: Understanding the shape of confidence interval for polynomial regression (MLR)
negative_passages.docid: 30821
negative_passages.text: Should confidence intervals for linear regression coefficients be based on the normal or $t$ distribution?