This tag is a signal that the question focuses on a problem particular to multivariate analysis, such as multiple correlations or interactions.
14
votes
1answer
4k views
Multivariate multiple regression in R
I have 2 dependent variables (DVs) each of whose score may be influenced by the set of 7 independent variables (IVs). DVs are continuous, while the set of IVs consists of a mix of continuous and ...
4
votes
4answers
1k views
What should I be aware of when using multiple regression to find “causal” relationships in my data?
First of all, I realize multiple regression does not really give actually "causal" inferences about the data. Let me explain my current case:
I have four independent variables which I hope (but am ...
4
votes
2answers
3k views
Significant multiple linear regression model with non-significant betas?
In multiple linear regression, let us say that the F test shows that the model is significant. But the t-tests for beta values does not say that the beta values are non-zero. What can we conclude in ...
3
votes
2answers
537 views
Multiple regression with binary predictors. Component value analysis
I have the data about process duration (in minutes) and components (procedures) done during it like this (CSV):
...
5
votes
1answer
2k views
How to graphically compare predicted and actual values from multivariate regression in R?
I'm trying to write a function to graphically display predicted vs. actual relationships in a linear regression. What I have so far works well for linear models, but I'd like to extend it in a few ...
2
votes
2answers
608 views
Normal distribution necessary to assess moderating and mediating effects?
Is linear regression only suitable for variables with a normal
distribution?
If so, is there an alternative nonparametric test to test mediation or moderation?
8
votes
2answers
4k views
VIF, condition Index and eigenvalues
I am currently assessing multicollinearity in my datasets.
What threshold values of VIF and condition index below/above suggest a problem?
VIF:
I have heard that VIF $\geq 10$ is a problem.
After ...
18
votes
6answers
6k views
Is adjusting p-values in a multiple regression for multiple comparisons a good idea?
Lets assume you are a social science researcher/econometrician trying to find relevant predictors of demand for a service. You have 2 outcome/dependent variables describing the demand (using the ...
