# 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.

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14 views

### Interpreting truncated normal and lognormal coefficients

I am running a truncated normal regression and a lognormal regression as the second part of a double hurdle model. The dependent variable is transaction revenue and I have several independent ...
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### Interpreting inverse hyperbolic sine transformations with indicator independent variable in polynomial regression

I have a regression discontinuity design with the following specification: The specification is a polynomial regression with an indicator variable to capture the average treatment effect. What is the ...
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### ACF and CCF interpretion

I plotted ACF and CCF for two time series. But, I do not know how to exactly interpret them. I want to know how and which information can be found from these plots. Can I get any coefficient from CCF ...
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### Formulating Null and Alternative Hypotheses in a Regression Model

I have a simple question regarding formulating research null and alternative hypotheses in a simple econometric regression model. In my research Hypothesis, I expect X to negatively affect Y (from ...
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### Comparing betas of two different regression analyses

I have a basic question related to regression analysis as I’m looking for the right method to address my problem. In a first step I run a regression with Y as my dependent variable and CA as ...
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### How to code variables to avoid singularity in quasibinomial glm model of pre/post test means?

I'm performing a meta-analysis of studies that compared treatment and control groups from pre-test to post-test using means of count data. Other authors have performed similar analyses using raw ...
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### The baseline-category coefficient in the multinomial regression

After I run multinomial regression, I get N-1 beta coefficients. I need to obtain also the last coefficient, which is the baseline category. Any suggestions in R? Thanks
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### What is Ridge trace and Lasso path?

More specifically, what does "Ridge trace of regression coefficients" and "Lasso path of regression coefficients" mean? Are they the same as "Ridge coefficient paths" and "Lasso coefficient paths"?
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### cents per gallon to gallons per person - regression intepretation

Equation: fuel = B0 + -7.441gatax fuel: motor fuel uses in (gallons per person) gatax: state gas tax in (cents per gallon) How would you explain a 1-unit increase in the gas tax? thanks for any ...
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### Find highest scoring yet most consistent performer

I have several measurements with a mean and a standard deviation (but I believe that the coefficient of variation is more useful here). For example: A: Mean (in regards to the total): 90%, CV: 25% ...
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### Linear Regression with coefficient of a, b, c and d?

First I am a beginner and am trying to understand linear regression. I was reading an article and saw a formula: ...
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### How can I compare incremental-r2 between groups?

0 I have a dataset (n=6000) of individuals belonging to three different ancestry groups (african (n=2000), native american (n=2000), european (n=2000)). I am studying how well a predictor (x) ...
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### In Simple Linear Regression $\hat \beta_1$ and $\bar Y$ are independent [duplicate]

I want to show that, in simple linear regression $\hat\beta_1$ and $\bar Y$ are independent. My attempt: I have calculated the $\mathcal Cov(\hat \beta_1,\bar Y)$ and it turns out to be $0$.I also ...
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### How to perform a multiple non linear regression without knowing the functions for each variable and the constraints for their coeffcients?

I have a data for number of cars and its causal variables are identified as GDP, population, urban fraction and fuel price but they have non-linear positive correlation but I don't know what that is. ...
42 views

### compare coefficients from different regression

I estimate the following models using the Hausman-Taylor estimator: $$y_{i,t} = a_{0} + B_1 controls_{i,t} + \beta_1x_{i,t=2000} + B_2 Year_t + B_3 x_{i,t=2000}*Year_t + e_{i,t}, (1)$$ y_{i,t} = ...
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### Spatial Lag or spatial Error Model? Deciding by using the Lagrange multiplier diagnostics

Honestly, my knowledge of geostatistics is limited. My assumptions are as follows: If I want to choose between a Spatial Lag Model (SLM) and a Spatial Error Model (SEM), I can use the Lagrange ...