I understand the basics of binary logistic regression when the independent variable is a dichotomous variable. However, I am working with a dataset that has the dependent as a dichotomous variable and my independent variable is a percentage. So for example I am looking at how the percent change in revenue from the previous year impacts the probability of a particular policy being implemented. The independent variable is in the .10 (10%) form.

My question is how do I interpret the odds ratio?

Thank you!


"A one percentage point higher change of revenue from the previous year is associated with a beta increase in the odds ratio."

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