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Questions tagged [regression-coefficients]

The parameters of a regression model. Most commonly, the values by which the independent variables will be multiplied to get the predicted value of the dependent variable.

0 votes
1 answer
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Elasticity from differenced log-level regression

I have the regression $ \Delta \ln Y_i = \alpha + \beta \Delta X_i + \varepsilon_i $ where $\Delta \ln Y_i = \ln Y_{t,i} - \ln Y_{t-1,i}$ and $\Delta X_i = ((X_{t,i} - X_{t-1,i}) / T_{t-1,i} ) \cdot ...
Papayapap's user avatar
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0 answers
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Comparing Gaussian GLMM models for positive, slightly non-normal data: Interpreting conflicting model selection criteria

I'm analyzing data using glmmTMB in R with the following model structure: ...
Julius Bogomolovas's user avatar
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0 answers
12 views

Effect of Variable Disaggregation on Other Coefficients

Suppose that I do a multivariate regression of variable $Y$ on variables $X_1, X_2, \ldots X_k$ and find coefficients $\beta_1, \beta_2, \ldots \beta_k$. Consider that variable $X_n$ can be dis-...
Tarang Saluja's user avatar
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0 answers
14 views

Significance of the coefficients of a multinomial mixed regression built with npmlt function

I fitted (using npmlt function) a mixte multinomial regression model which ran without errors. I expected that the outputs of the model include p-values that I didn't find. My need now is that someone ...
Romaine TCHEDJI's user avatar
3 votes
1 answer
44 views

What should I back transform beta coefficients when my dependent variable is fractionally exponentiated in R

I have this mixed effects regression model. To create a normal distribution in continuous scale dependent variable, I fractionally exponentiated it: ...
Nim Goldshtrom's user avatar
0 votes
1 answer
46 views

why does LASSO regression return unstandardized coefficients [closed]

I have more general questions that does not refer to a coding issue. Why does LASSO regression require standardization of the predictors but return unstandardized coefficients (glmnet function - https:...
Simon's user avatar
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0 answers
30 views

"Important" data points causing problems with nonlinear regression bootstrapping

I am trying to model radar backscatter of a planetary surface. The power which is scattered back to the instrument depends on the angle at which the it observes the surface. The shape of the resulting ...
ampny's user avatar
  • 1
1 vote
1 answer
28 views

Comparing odds ratios on same people but from different models

I have run two logistic regression models (two different versions of handling missing data( using the same sample and using the same predictors. I want to compare whether or not the odds ratios for ...
Jordank's user avatar
  • 11
0 votes
1 answer
66 views

Moderation coefficient in linear mixed models SPSS - interpretation

My model: IV: extroversion (5 point likert) Moderator: Comepetence (values 1-5) DV: Offer (values 5 to 15) Hypothesis: The negative relationship between Extroversion and offer is moderated by ...
breeks's user avatar
  • 21
1 vote
1 answer
42 views

Poisson regression given multiple predictors on a repeating ID variable

I was wondering how a poisson regression would work given my dataset which describes a series of zip codes stratified by age groups, gender and death counts. The regression would use death counts as ...
Seyong Chang's user avatar
5 votes
1 answer
179 views

Linear regression: interpret coefficient in terms of percentage change when the outcome variable is a count number

I have a linear regression, where Y is a count number. Y = a + b1X1 + b2X2 I know we can interpret b1 as: a unit increase in X1 will change Y by b1. But how can I ...
ycenycute's user avatar
  • 373
2 votes
1 answer
86 views

Why are my Hazard Ratio coefficients so large or small in Coxph regression?

I have some grade data for an institution I work at for a specific sub population and comparing it to retention over time. In the first table below are some hazard ratios from a coxph regression in R, ...
Tytalus's user avatar
  • 31
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0 answers
23 views

Is the intercept of a complex sum-coded regression basically useless for interpretation? Maybe even for some simple models?

In regression analysis, one may choose to code categorical variables differently depending on interpretability considerations. One such coding scheme known as sum coding (a kind of effect coding ...
nsa's user avatar
  • 272
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0 answers
56 views

Using Controls that are time-invariant with the difference-in-differences estimators

I ran an experiment in which there was 2 groups of participants performing the exact same task during a first period. In the second period, the two groups had to perform the same task a second time. ...
Zelda 's user avatar
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Variance Component Estimation of Weighted Total Least Squares

Note: I'd like to make the cited document accessible to everyone but I am unsure how to do this. I am a bit confused by this 2014 article "Variance components in errors-in-variables models: ...
A Friendly Fish's user avatar

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