query: Which independent variables are most important in predicting the response variable?
positive_passages.docid: 27143
positive_passages.text: Detecting significant predictors out of many independent variables
negative_passages.docid: 54879
negative_passages.text: Using x to predict y when they are highly correlated
negative_passages.docid: 81547
negative_passages.text: Effect of switching response and explanatory variable in simple linear regression
negative_passages.docid: 120925
negative_passages.text: Linear regression with strongly non-normal response variable
negative_passages.docid: 132863
negative_passages.text: How do I interpret the results of a regression which involves interaction terms?
negative_passages.docid: 99864
negative_passages.text: Using a regression model to make prediction: When to stop?
negative_passages.docid: 79409
negative_passages.text: What is the benefit of latent variables?
negative_passages.docid: 86632
negative_passages.text: Only binary predictors -- ANOVA, regression, or other?
negative_passages.docid: 121468
negative_passages.text: Explanatory variables may bias predictions
negative_passages.docid: 36891
negative_passages.text: Properties of logistic regressions
negative_passages.docid: 57451
negative_passages.text: Independent variable = Random variable?
negative_passages.docid: 55556
negative_passages.text: Should control variables be included in model if statistically insignificant?
negative_passages.docid: 20763
negative_passages.text: Why could centering independent variables change the main effects with moderation?
negative_passages.docid: 147243
negative_passages.text: Modelling a binary response variable with a binary explanatory variable
negative_passages.docid: 140385
negative_passages.text: Practical thoughts on explanatory vs. predictive modeling
negative_passages.docid: 42003
negative_passages.text: Multinomial logistic regression assumptions
negative_passages.docid: 12075
negative_passages.text: Explanation of the different variable types in statistics?