query: Adding a variable in multiple regression - interpretation?
positive_passages.docid: 25787
positive_passages.text: How can adding a 2nd IV make the 1st IV significant?
negative_passages.docid: 74282
negative_passages.text: Can I use PCA (or should I use regression) for testing the effect of multiple variables on one dependent variable?
negative_passages.docid: 107491
negative_passages.text: What happens if the explanatory and response variables are sorted independently before regression?
negative_passages.docid: 41983
negative_passages.text: What happens when I include a squared variable in my regression?
negative_passages.docid: 50030
negative_passages.text: Does it make sense to interact 2 dummy variables?
negative_passages.docid: 3998
negative_passages.text: Magnitude of standardized coefficients (beta) in multiple linear regression
negative_passages.docid: 94798
negative_passages.text: Assumptions of linear regression
negative_passages.docid: 71974
negative_passages.text: Is it feasible to transform each variable differently while doing multiple regression
negative_passages.docid: 108317
negative_passages.text: Do you ever center AND standardize variables in multiple regression?
negative_passages.docid: 567
negative_passages.text: Regression with multiple dependent variables?
negative_passages.docid: 81547
negative_passages.text: Effect of switching response and explanatory variable in simple linear regression
negative_passages.docid: 127276
negative_passages.text: How to interpret the coefficients from a beta regression?
negative_passages.docid: 118276
negative_passages.text: Multivariate multiple regression validation
negative_passages.docid: 109955
negative_passages.text: regression models and dummy variables
negative_passages.docid: 34988
negative_passages.text: How to do indirect variable evaluation
negative_passages.docid: 1980
negative_passages.text: Question on how to normalize regression coefficient
negative_passages.docid: 9488
negative_passages.text: When conducting multiple regression, when should you center your predictor variables & when should you standardize them?