# Questions tagged [multiple-regression]

Regression that includes two or more non-constant independent variables.

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### Multiple regression or mixed-model to account for altitude in model

Let's say I'd like to test the concentration of a particular mineral (conc) in different parts (part) of two different mountains ...
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1 vote
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### Moving 1 SD along one variable in multiple linear regression vs simple linear regression

In simple linear regression done via the usual least squares method, it can be easily shown that the estimated line passes through the point of means, $(\bar{x},\bar{y})$ and moving one sample ...
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### Should a non significant predictor be included in a multiple linear regression model? [duplicate]

Given the multiple linear regression model: $$Weight = \beta_0 + \beta_1\cdot Height+\beta_2\cdot Age$$ If we get that $Height$ is significant (p<0.05) but $Age$ is not (p>0.05), should we ...
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### Fitting multiple linear regression models to select molecules for which a feature of interest significantly alters concentration

I'm using data from a proteomics platform called Olink. In this case, the data comes from samples of 16 patients and 16 controls. The patients can be further classified into 2 subgroups. The assay ...
194 views

### General Linear Mixed Model: How do I fix 'Rescale variables? Model is nearly unidentifiable' error on glmer

I'm trying to fit a generalized linear mixed model (GLMM), but I'm getting a persistent error. I'm looking at the relationship between weather (continuous variables: rainfall, maxtemp, and mintemp) ...
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### Count predictor and binary outcome

Is a binary logistic regression the best approach when I have a count predictor and a binary outcome? Can I apply a multiple binary logistic regression model if I have more than 1 predictor that is a ...
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1 vote