# How to interpret logistic regression with days of the week and months of the year as predictors together with continuous and binary predictors?

I am using logistic regression to predict electricity spike prices (price that exceeds a certain threshold).

I directly use the following variables as my independent variables together:

(a) demand/load - a continuous IV
(b) is a binary IV
(c) days of the week
(d) months of the year.

I used the reference category for (c) and (d) and end up sept and tue for the reference. How do I interpret the results using marginal effects for all my predictors?

I am using Stata 9.

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