query: Mean centering variables NOT in a moderation/interaction term
positive_passages.docid: 9488
positive_passages.text: When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
negative_passages.docid: 60423
negative_passages.text: Are there concerns with doing a generalized additive model with a smoothing term of multiple variables?
negative_passages.docid: 9930
negative_passages.text: Correlations between continuous and categorical (nominal) variables
negative_passages.docid: 40108
negative_passages.text: standardising non normally distributed predictors for regression
negative_passages.docid: 27818
negative_passages.text: How do I find values not given in (interpolate in) statistical tables?
negative_passages.docid: 68126
negative_passages.text: Can independent variables with low correlation with dependent variable be significant predictors?
negative_passages.docid: 121223
negative_passages.text: How to prove that the centering inequality for the sub-gaussian norm does not hold
negative_passages.docid: 65293
negative_passages.text: Dealing with Categorical variables in Multiple Regression
negative_passages.docid: 75298
negative_passages.text: Standardization of variables and collinearity
negative_passages.docid: 87528
negative_passages.text: Interpreta​tion of main effect when interactio​n term is significan​t (ex. lme)
negative_passages.docid: 16596
negative_passages.text: Correlation coefficient between a (non-dichotomous) nominal variable and a numeric (interval) or an ordinal variable
negative_passages.docid: 105301
negative_passages.text: Example where a simple correlation coefficient has a sign opposite to that of the corresponding partial correlation coefficient
negative_passages.docid: 107491
negative_passages.text: What happens if the explanatory and response variables are sorted independently before regression?
negative_passages.docid: 20060
negative_passages.text: Interpreting interaction terms in logit regression with categorical variables
negative_passages.docid: 153393
negative_passages.text: Is there a *simple* example showing that uncorrelated random variables need not be independent?
negative_passages.docid: 48567
negative_passages.text: Skewed variables in PCA or factor analysis
negative_passages.docid: 141568
negative_passages.text: Why is using centered or uncentered data equivalent in ridge regression?