# 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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### Obtaining significance for variables in a linear discriminant function analysis

I have run a linear discriminant function analysis using the lda() function in the MASS library to determine which of 6 ...
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### How to determine the significance of an interaction?

My question is simple: How do you determine the overall significance of an interaction (i.e. the marginal effect of $X$ on $Y$ for different values of $Z$)? But the background is a bit long-winded,...
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### Finding standard error of beta coefficients in ridge regression using lambda

I need to get the standard errors of coefficients with Ridge Regression, by calculating the SE of the beta estimates after I choose the right lambda. ...
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### Normality violations in multiple regression - report bootstrapped CIs, p values & t values?

I have analysed some data for a research project using multiple linear regression. However, normality assumptions for this method were not met in my data (and could not be resolved using ...
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### Why signs of coefficients change when doing multivariate vs. univariate logit regression? [duplicate]

Excuse my dumb question, but I did an univariate logistic regression where the sign of the coefficient of my variable was negative (and it was significant). Once I have input it into a multivariate ...
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### Interpreting regression coefficients when the dependent variable is in percentages?

I have a dependent variable that is % of students graduating, but the explanatory variables are all absolute numbers, such as number of applicants and college fees. How would I interpret a coefficient ...
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### In linear regression, why is the T-value the same whether or not I standardize the dependent and independent variables?

I standardized my x and y variables by subtracting by the mean and dividing by the standard error. I thought that was "fixing" my data, but I noticed the regression t-value that's produced in R is ...
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### continuous vs categorical logistic regression for marks and admission

I have a list of marks scored by students in Science (X, between 0 to 100%) and whether they went to college to or not (Y). High marks in science showed a higher concentration of college admits and ...
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### Comparing coefficients in logistic regression, with different samples

I have a problem comparing the coefficients of my logistic regression models, in Stata. I have a dependent variable (DV) 'being an entrepreneur' and multiple independent variables (IV) such as age, ...
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### How do I calculate standard errors for sums of OLS coefficients?

I'm estimating a simple OLS regression model of the type: $y = \beta X + u$ After estimating the model, I need to generate a weighted combination of coefficients (e.g. $w_1 \beta_1 + w_2 \beta_2$) ...
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### Regression with random X

Suppose we have a standard regression model $$Y= X\beta + \epsilon$$ with $$\epsilon \sim \sigma^2$$ $$X \sim N(\mu,\gamma^2)$$ Are the estimated coefficients the same as if $X$ was fixed? Is ...
How do I interpret a log-linear interaction term, is it possible? My model: $Y= B_1 + B_2\log X_1 + B_3X_2 + B_4(\log X_1 X_2) + u$