Linked Questions

Possible Duplicate: What if interaction wipes out my direct effects in regression? I have three hypotheses within my experiment, and interpreting the interaction in relation to the rest of the ...

Possible Duplicate: What if interaction wipes out my direct effects in regression? We have a question regarding a regression we are working on. We have two dummy variables, net income (If net ...

UPDATE: I don't think the single posted answer is correct. When I run summary(lm(DependentVar ~ IndVar1 * IndVar2, data = Data1)) the first listing is IndVar11 @ p = 0.113, and the four IndVar1:...

Possible Duplicate: What if interaction wipes out my direct effects in regression? I did hierarchical regression analysis on my data due to having interaction effects in my research model. All ...

I have a (mixed) model in which one of my predictors should a priori only be quadratically related to the predictor (due to the experimental manipulation). Hence, I would like to add only the ...

I have a question related to multiple regression and interaction, inspired by this CV thread: Interaction term using centered variables hierarchical regression analysis? What variables should we ...

In a recent paper, I fitted a three-way fixed effects models. Since one of the factors wasn't significant (p > 0.1), I removed it and refitted the model with two fixed effects and an interaction. I'...

I have a simple model without interaction and it stated significant effect for all the explanatory variables (continuous variable rok and categorical variables obdobi (levels hn and nehn) and kraj: <...

I am testing the relationship between two variables (Similarity index; Years patenting) on a binomial dependent variable via a Logistic regression in SPSS. I tried two models as you can see bellow in ...

The following multilevel logistic model with one explanatory variable at level 1 (individual level) and one explanatory variable at level 2 (group level) : $$\text{logit}(p_{ij})=\pi_{0j}+\pi_{1j}x_{...

Let's say there's one DV (Y) and three IVs (X1, X2, X3), ...

I have two non-significant main binary variables in my binary logistic regression model, but their interaction is significant. The variables are centered and no multicollinearity is the case (all VIFs ...

I have a dichotomous dependent variable for a 2x3 experiment. There are about 30 observations in each cell, for a total sample size of about 180. Each person was only in one cell. The dependent ...

The problem I have is as follows: I have a clinical trial based on 2x2 factorial design (four treatment combinations, balanced design)comparing treatment A with treatment B, where the primary outcome ...

I think this is a simple question, but I'm having difficulty coming up with a test or example for this. Consider lm(A ~ B*C, data=D) where A is continuous; B and C ...