81 How can a regression be significant yet all predictors be non-significant? 2011-08-19T04:50:55.947

74 Is there an intuitive explanation why multicollinearity is a problem in linear regression? 2010-08-02T22:42:32.947

53 Why is it possible to get significant F statistic (p<.001) but non-significant regressor t-tests? 2010-10-13T09:40:17.420

48 What correlation makes a matrix singular and what are implications of singularity or near-singularity? 2013-09-24T10:55:04.087

29 What is the effect of having correlated predictors in a multiple regression model? 2014-02-11T22:23:12.550

28 Why is multicollinearity not checked in modern statistics/machine learning 2015-08-25T00:16:34.303

22 How to deal with multicollinearity when performing variable selection? 2012-03-31T17:15:11.007

22 Collinearity diagnostics problematic only when the interaction term is included 2013-05-30T21:14:27.373

21 Is PCA unstable under multicollinearity? 2011-04-14T04:51:15.753

21 Which variance inflation factor should I be using: $\text{GVIF}$ or $\text{GVIF}^{1/(2\cdot\text{df})}$? 2013-09-22T04:57:22.470

21 How to test and avoid multicollinearity in mixed linear model? 2014-01-22T06:24:38.680

19 Dealing with correlated regressors 2010-10-13T17:34:00.057

19 Is there a reason to prefer a specific measure of multicollinearity? 2013-01-29T22:42:14.920

18 How to tell the difference between linear and non-linear regression models? 2015-04-28T08:07:10.483

17 Won't highly-correlated variables in random forest distort accuracy and feature-selection? 2015-03-13T14:46:42.227

15 How to deal with high correlation among predictors in multiple regression? 2012-09-27T09:12:39.933

15 Why does this regression NOT fail due to perfect multicollinearity, although one variable is a linear combination of others? 2016-02-09T15:34:12.857

13 Logistic Regression - Multicollinearity Concerns/Pitfalls 2010-11-23T23:50:10.213

13 Multicollinearity when individual regressions are significant, but VIFs are low 2012-03-11T03:53:35.590

13 Linear regression when you only know $X^t Y$, not $Y$ directly 2012-06-08T07:36:53.183

13 Qualitative variable coding in regression leads to "singularities" 2013-09-22T15:07:00.270

12 What are chunk tests? 2012-05-01T00:58:03.580

12 How can you handle unstable $\beta$ estimates in linear regression with high multi-collinearity without throwing out variables? 2012-07-17T15:29:50.800

11 VIF, condition Index and eigenvalues 2010-11-01T10:19:44.367

11 Dealing with multicollinearity 2011-07-27T04:57:50.143

11 What to do with collinear variables 2013-03-14T09:14:11.180

11 Is there a problem with multicollinearity and for splines regression? 2013-09-24T23:27:26.077

11 Variance-Covariance matrix interpretation 2014-04-10T11:12:10.757

11 How to start building a regression model when the most strongly associated predictor is binary 2016-11-23T14:59:56.320

11 Should one be concerned about multi-collinearity when using non-linear models? 2017-03-08T20:14:26.987

10 Reference for the sum and difference of highly correlated variables being almost uncorrelated 2011-07-27T01:38:17.490

10 Linear relationship between explanatory variables in multiple regression 2013-05-23T02:57:45.357

10 Variance inflation factor for generalized additive models 2014-04-08T15:40:19.657

10 When can we speak of collinearity 2014-05-27T13:20:00.577

10 What are the merits of different approaches to detecting collinearity? 2015-09-22T14:53:23.450

9 Does standardising independent variables reduce collinearity? 2011-10-08T15:03:49.973

9 Is multicollinearity implicit in categorical variables? 2012-08-31T21:04:31.477

9 Is Support Vector Machine sensitive to the correlation between the attributes? 2015-05-04T14:21:12.817

9 Determining statistical significance of linear regression coefficient in the presence of multicollinearity 2017-04-20T00:58:29.563

8 Collinearity between categorical variables 2011-11-08T17:22:07.053

8 Multiple regression with missing predictor variable 2012-05-21T06:05:24.460

8 Interaction term using centered variables hierarchical regression analysis? What variables should we center? 2013-07-20T12:20:41.810

8 How to systematically remove collinear variables in Python? 2015-06-01T18:47:39.527

8 Set of uncorrelated but linearly dependent variables 2015-10-01T09:08:19.913

8 What is an example of perfect multicollinearity? 2016-07-03T10:44:57.627

8 Can standardized $\beta$ coefficients in linear regression be used to estimate the $R^2$? 2016-07-14T17:48:36.403

7 Assessing multicollinearity of dichotomous predictor variables 2011-03-09T17:14:51.320

7 Coefficients change signs 2012-07-07T12:57:47.943

7 What is the fastest method for determining collinearity degree? 2013-04-19T22:28:27.813

7 Do I need to drop variables that are correlated/collinear before running kmeans? 2013-06-21T09:10:36.640

7 Assessing associations between many categorical variable pairs 2013-09-17T13:41:37.377

7 Why does Ridge Regression work well in the presence of multicollinearity? 2014-06-25T20:26:37.587

7 Where is the explanatory effect of common variance among covariates accounted for in regression procedures? 2015-11-20T11:46:24.210

7 Why aren't we simply using $R_j^2$ instead the VIF? 2016-04-18T12:45:44.097

7 Is multicollinearity really a problem? 2017-03-21T19:59:14.260

7 Multicollinearity between ln(x) and ln(x)^2 2017-11-08T15:56:50.207

6 Abusing Linear Models under Multicollinearity: Simulation for 'realistic' movement of predictors 2012-03-20T16:40:45.080

6 In a neural network with N covariates, are >N hidden units useless? 2012-08-22T07:42:06.823

6 Intuition for consequences of multicollinearity 2013-10-27T06:02:56.510

6 Assessing the Contribution of each Predictor in Linear Regression 2014-09-04T19:09:19.920

6 Coefficient changes sign when adding a variable in logistic regression 2014-09-25T21:49:50.467

6 Multicollinearity in WLS regression 2015-10-30T17:29:41.630

6 What are some of the potential consequences of adding junk controls in your regression? 2015-11-23T14:57:43.667

6 Interpreting proportions that sum to one as independent variables in linear regression 2015-11-25T18:08:44.237

6 how does multicollinearity affect feature importances in random forest classifier? 2016-01-04T16:52:22.613

6 Strange outcomes in binary logistic regression in SPSS 2016-05-03T10:53:57.047

6 If multi-collinearity is high, would LASSO coefficients shrink to 0? 2016-10-20T19:52:45.410

6 How to avoid collinearity of categorical variables in logistic regression? 2017-01-09T17:21:04.923

5 Can you use heteroskedastic time series variables within a regression model? 2011-01-04T16:55:36.283

5 How to deal with multicollinearity issue when analyzing survey results? 2012-04-02T18:13:42.367

5 Sign flipping when adding one more variable in regression and with much greater magnitude 2012-10-31T22:24:08.713

5 How to deal with an unavoidable correlation between two independent variables? 2013-02-20T19:32:14.907

5 VIF values and interactions in multiple regression 2013-03-20T19:41:33.453

5 SEM: Collinearity between two latent variables that are used to predict a third latent variable 2013-08-11T19:21:18.500

5 Should control variables be included in model if statistically insignificant? 2013-09-06T13:51:22.027

5 Is centering a valid solution for multicollinearity? 2014-04-27T15:50:35.250

5 what is the difference between collinearity and interaction? 2014-08-29T18:28:35.783

5 Many dependent variables, few samples: is this an example of "large $p$, small $n$" problem? 2014-09-24T19:26:59.977

5 Why do we use the term multicollinearity, when the vectors representing two variables are never truly collinear? 2014-12-11T20:42:05.167

5 Collinearity in multivariate regression with huge amounts of data 2015-01-06T22:11:37.323

5 How to interpret R VIF function in CAR pacakge? 2015-02-25T15:15:51.503

5 How to interpret ridge regression plot 2015-05-30T08:11:56.187

5 How should strongly correlated covariates for logistic regression be treated? 2015-06-25T19:12:29.187

5 Why there is a dependence between the factors on the same column? 2015-10-21T11:42:09.673

5 How to detect multicollinearity in a logistic regression where all the independent variables are categorical and binary? 2016-03-09T10:24:36.053

5 Can the correlation of fixed effects be zero? 2016-11-15T14:53:37.430

5 How to introduce a-priori knowledge about the factors in linear regression? 2017-03-12T22:11:51.223

5 Logistic regression and inclusion of independent and/or correlated variables 2017-08-16T11:34:04.173

4 Does the p-value in the incremental F-test determine how many trials I expect to get correct? 2012-01-20T01:40:44.990

4 How to handle multicollinearity in a linear regression with all dummy variables? 2012-06-15T12:31:40.470

4 What does that mean that two time series are colinear? 2012-06-22T02:20:37.490

4 At what VIF level should you switch from OLS to ridge-regression? 2012-08-09T11:59:48.887

4 Time series forecasting using autoregressive and linear terms in R 2012-09-01T05:11:12.943

4 Regsubsets with leaps fails 2012-11-24T23:37:47.550

4 Multicollinearity in OLS 2012-12-26T16:47:03.523

4 Non negative least squares with minimal colinearity 2013-01-10T16:05:55.680

4 Multicollinearity between categorical and continuous variable 2013-01-28T12:50:20.237

4 Which data for feature selection to get unbiased result? 2013-07-27T12:53:54.990

4 How to test for multicollinearity among dummy explanatory variables? 2013-08-13T18:33:03.427