In a linear regression model, I'm considering adding in two control variables: One for population density and another measure that assesses vehicle ownership. These variables are correlated with each another, which would cause problems with multicollinearity. Neither variable is even close to being statistically significant in the model when only one is added, but both become statistically significant if they're both added to the model.
Any recommendations for what I should do?