Is it acceptable to create a dummy variable out of a quantitative variable? I have a variable that takes the value of 5% or 10% throughout the data set. Is it okay to transform this variable into a dummy variable such that 10% (high) = 1 and 5% (low) = 0.
I am running a logistic regression (binary response variable) and I want to know if the probability of event success i.e. y=1 decreases when the variable X increases. Is it acceptable to code  10% (high) = 1 and 5% (low) = 0. I ran a regression with this variable as a quantitative variable, but the output (coefficient) seemed to be unordinary.
     Default | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]


        x    |   15.46885   .2556751    60.50   0.000     14.96773    15.96996


You can. But this transformation will just scale down your coefficient. The z and p-value should stay the same.
