Excuse my perhaps dumb question, however I have a dataset consisting of daily crime date and weather data, in order to test if climate change can have an impact on crime. Given that my date is influenced by time varying factors, like day of the week, month of the year etc. i have created dummy variables to account for time varying influences on crime. However my question is, how would you regress with all of these temporal binary controls, given that there 6 dummy variables for day of the week, and 11 for month of the year? Is there a way to account for these time varying influences?