multicolinearity

  1. A

    How to check for multicolinearity between two categorical variables when their contingency table contains many zero entries?

    Problem: I have to build a multiple regression model where most of my predictor (independent) variables are categorical (nominal) but I'm running into a few problems due to some of the predictors being (perfectly) colinear. So I need to check for multicolinearity and remove redundant predictors...
  2. 1

    high correlation among interaction terms

    Y= alpha+ b1*x1 + b2*x2 + b3* x3 +b4*x4 + b5*dummy1*x1+b6*dummy1*x2 + b7*dummy1*x3 +b8*dummy1*x4 I run the correlation between all the regression variables and I found that all variables that are multiplied by dummy1 are highly correlated (correlation can reach up to 0.77). is this normal...
  3. Junes

    Power calculation with measurement error on Y

    I'm trying to do a power calculation for a study I'm involved in, and I'm a bit stuck. The study is about textual cues of trust. We want to analyze a number of predictors in the text using the LIWC tool (which generates features based on text) and correlate them with perceived trust as...
  4. P

    Multicolinearity test for Multivariate Multiple Regression

    Hi, all -- I have multiple independent and multiple dependent variables, some of which are categorical and others quantitative. I've made the appropriate dummy variable columns for the categorical variables. The procedure for testing for multicolinearity for multiple regression is easy...