Summary () output for multiple logistic regression and interpreting the coefficients

Hi Everyone,

I used the summary() function to get the coefficients for a glm model. I am having a little trouble understanding how to interpret the coefficients for one of my covariates. The covariate was aspect as a factor with 9 levels (N, NW, NE, E, S, SW... and Flat) and the Y variable being predicted was used vs available. The model returned that all aspect levels were significant and used flat as the reference. The coefficients for all of the aspect values were negative. Does this mean that all aspects were used significantly less than flat areas? Thank you.

Hi, this might describe what you are after:

Logit Regression | R Data Analysis Examples (

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