predictors

I am running a regression using multiple variables in order to predict a binomial outcome. Two of my variables are numeric, most are categoric. My two numeric variables are age and bmi. I have calculated an odds ratio for each of those variables (e.g. if the bmi increases with 1 point...

Hi everyone! I was wondering, how do I deal with a predictor that overshadows all others? All predictors included in the model are statistically significant, but one of the has a very strong impact on the dependent variables, so much that when its value is high, the impact of all other...

I've been helping a colleague with his research project. He is looking at the trustworthiness of profile texts. He is analyzing text entries using the LIWC tool, which generates around 90 dimensions based on text input (positive/negative affect, pronoun use, etc.). Most of it on the ratio or...

Hi everyone, I'm new to multiple regression analysis. I have a question and I hope someone can help answer it. Thank you. In a multiple regression analysis, B, along with several other predictors, was found to be a predictor of A. Literature also says B is a predictor of A. Since A and B...

Hello Everybody, I am a physician and a researcher, have been studying the meta-analysis subject for a while now, and we are in the process to perform a metanalysis in the cardiology field in these days. Here it is a basic summary: although there are a lot of publications trying to...

I have what I believe is a mixed effects logistic regression. My outcome is injury (y/n) and I have subject level (age, gender, smoking) and Class level ($ Funds, instructor experience, etc.). I am trying to preduct injury based on the subject AND class level data. My outcome is by subject...

I have a logistic regression setup: Outcome = injury (y/n); predictors that are subject specific are gender, age, smoking, and predictors that are class level are $ funds, instructor experience, etc. I want to be able to predict injury based on the subject AND class level data. My setup is...

I am looking to use LASSO for variable selection, in the context of an economic factor model. My response variable is a balanced panel dataset, with n securities, each having t observations. My independent variables - potential predictors - are k economic variables: each of the k variables is...

I have been reading about how (multi)-collinearity among predictor variables can be determined by looking at the condition number, or smallest eigenvalue, of the covariance matrix. My question is, if you have the covariance matrix could you not just determine that there is collinearity by...

Hi everybody, I have a question relative to the multiple linear regression. Here is the case: Y=dip var x1, x2, x3= indip var suppose that I have no collinearity between x1, x2 and x3 If I find x1 not statistically significant (p-value>alfa), can I remove x1 from my analysis and run the...

Hi Could someone please help me with this question I've been staring at my textbook for hours and it doesn't explain how to find no of variable or predictors.. A researcher gathered 155 observations on four variables: job satisfaction, occupation, industry, and marital status. She wants to...