interpretation

I have a question about multiple regression. May I kindly ask how should I interpret the conditional main effect when the interaction is 0 and the coefficients have opposite signs, more specifically if one of the interaction term contains zero such as angle or time. Please see an example...

Dear All, I have performed multiple regression model which consists of main effects and interactions. May I kindly ask how should I interpret the equation in case the main effect is either not significant or significant while interaction is significant. Please see my end model and equations...

I have been given advice that I should always interpret the relationships shown in the model of best fit, from having run a linear mixed model, regardless of the p-value. I want to do this anyway, as some of my moderator/predictor variables didn't quite reach significance. But I know my...

I need help !

Hello, I fitted a Weibull Accelerated Failure Time (AFT) to my dataset (n=1071). The output reported the shape parameter (B=0.67,p<0.001). My understanding is that since the coefficient is less than 1, this means that the hazard is increasing over time. Is this correct? I also fitted another...

Hi guys, I have the following output and I really need your help with this: The questions are: a) Regressor X3 is a dummy variable (X3 = 1 if individual belongs to group 1). What interpretation can you give to the corresponding coefficient? b) The dependent variable was generated by the...

Good morning, I am new to this forum and would like some help with the interpretation of the following regression. I hope I am in the right place. lnWaste = +A(lnGDP) +B(lnGDP)2 I have found coefficients for lnGDP= -1.85 and for (lnGDP)2=0.1 Now I am trying to give an interpretation of what...

I try to improve my statistical knowledge and right now I am working on a regression that contains interaction terms. I am currently investigating the effects of different variables (a1, a2 etc.) on the quantity of chairs sold in a transaction (dependent variable). To see if effects are...

Hello, I’m needing a little bit of direction in understand my first hierarchical multiple regression data. My research question is to what extent does alcohol explain the association between negative mood and impulsivity in academic performance (DV). I’ve ran the analysis - at the first stage...

Hello, I have categorical data (high/low) on a protein which I am investigating its potential role as a prognostic utility. I have run a cox regression with the categorical data and 3 year survival as outcome (dead/alive) I get a significant results (attached). I then ran...

I am working with a structural VAR analysis, and want to understand my results. The model studies how a shock on one variable affects a second variable. I understand that if the first month's response is +3 %, it means that the initial value of the response variable increases by 3 percent...

Hello everyone, I would really appreciate some advice on how to interpret my SPSS-Output. I have tried to figure it out myself, but haven't been able to get an answer. I have 2 binary independent variables and 1 dependent variable with 3 categorical outcomes. So a 2x2 Design. In order to...

I am running a logistic regression to find how font manipulation (x1) and people perceptions over how easy it is to process the information (x2) influence the online buying behaviour (y). I was especially interest to see if x2 acts like a moderator. Initially I have got to the following...

So effectively I have two variables, language problems, and emotional problems, both of which independently cause an increase in a third variable, which is behaviour problems. I hypothesized that high emotional problems would significantly moderate the relationship between language problems and...

I have carried out a Moran's I test on the residuals of a GLM model in the "ape" package in R which has returned the output below: Observed: -0.158 Expected: -0.0303 SD: 0.058844 Probability: 0.030002 On this basis is it correct to state that there is negative spatial autocorrelation...

This study tried to determine the factors influencing the probability that voters would be asked to show ID in order to vote in a certain state during a certain election. (Model 1 identified Hispanics by self-identification and Model 2 identified Hispanics by whether they had an Hispanic...

Hello evetyone! I conducted factor analysis on a 30-item scale which is suppose to be measuring xenophobia. All the variables were previously recoded in order to express the same side of the measured dimension. (I am using SPSS) I intend to analyse the relationship between xenophobia and a...

Hello everyone, I am a newby to that forum, so I hope my question is not redundant. I am currently sitting on my master thesis where I investigate which effect diversity in teams has on publications. Herefore, I have a dependent variable 'publications' which is a count variable. I have two...

Hey everyone. This is my first post here so please be kind to me :) . For my thesis my aim is to run a moderation analysis between organizational commitment and training. My dependent variable is job satisfaction. Org.commitment comes from 4 5-point likert-items, therefore I calculated the...

Hi, I am using the glmer() function from the package lme4 for a mixed logistic regression model. Here, the formula is Y ~ X + Z + X:Z, where Y is the binomial outcome, X is a categorical predictor with 3 levels (X1, X2, X3, where X1 is the baseline), and Z is a continuous predictor. In the...