I am using a backward stepwise linear regression to do this. I get clear results when I input all the sociodemographics apart from location. There are 7 predictors for model a, 4 predictors for model b and 1 predictor for model c. However, when I include location as a possible predictor, it excludes almost none of the other 12 possible predictors in the output for each of the 3 models.

I am wondering whether this is something to do with the high number of variables within the location category - there were 164 respondents from 82 different locations. However, with every other possible predictor eg. political standing, there were roughly 6 variable groups reported by participants in the survey.

If anyone had any indication of what might be going on and any advice on whether to leave location out of the analysis it would be much appreciated! (Also any advice on how I would justify excluding location in my methods would be amazing!)