Post Closed as "duplicate" by gung, Nick Cox, Peter Flom of
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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)

Thanks in advance,

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)

Thanks in advance,

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
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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)

Thanks in advance,

Ben