Post Closed as "duplicate" by gung, Nick Cox, Peter Flom of
2 improved formating, corrected spelling

I'm using R to run some generalized linear models (glmGLM) and I want to interpret the estimates.

If I use a GLM assuming gaussianGaussian distribution with identity link, interpretation is easy: if the estimate for factor x$$x$$ is y$$y$$ then an increase of 1 of factor x $$x$$ (if all other factors remain constant) will be estimated to result in a change in the response variable by y$$y$$ units.

Now, if I run a GLM assuming poissonPoisson distribution with log link, in the example above, will the response variable be expected to change by y$$y$$ units, or by exp^y$$\exp(y)$$ units?

note: I'm getting the estimates from summary(model object)

Ben

I'm using R to run some generalized linear models (glm) and I want to interpret the estimates.

If I use a GLM assuming gaussian distribution with identity link, interpretation is easy: if the estimate for factor x is y then an increase of 1 of factor x (if all other factors remain constant) will be estimated to result in a change in the response variable by y units.

Now, if I run a GLM assuming poisson distribution with log link, in the example above, will the response variable be expected to change by y units, or by exp^y units?

note: I'm getting the estimates from summary(model object)

Ben

I'm using R to run some generalized linear models (GLM) and I want to interpret the estimates.

If I use a GLM assuming Gaussian distribution with identity link, interpretation is easy: if the estimate for factor $$x$$ is $$y$$ then an increase of 1 of factor $$x$$ (if all other factors remain constant) will be estimated to result in a change in the response variable by $$y$$ units.

Now, if I run a GLM assuming Poisson distribution with log link, in the example above, will the response variable be expected to change by $$y$$ units, or by $$\exp(y)$$ units?

note: I'm getting the estimates from summary(model object)

1

# Interpreting estimates from generalized models in R

I'm using R to run some generalized linear models (glm) and I want to interpret the estimates.

If I use a GLM assuming gaussian distribution with identity link, interpretation is easy: if the estimate for factor x is y then an increase of 1 of factor x (if all other factors remain constant) will be estimated to result in a change in the response variable by y units.

Now, if I run a GLM assuming poisson distribution with log link, in the example above, will the response variable be expected to change by y units, or by exp^y units?

note: I'm getting the estimates from summary(model object)