+ Reply to Thread
Results 1 to 2 of 2

Thread: Regression Analysis for comparison of crime rates across a river

  1. #1
    Points: 4, Level: 1
    Level completed: 7%, Points required for next Level: 46

    Posts
    1
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Regression Analysis for comparison of crime rates across a river




    I need a bit of help refining a regression comparing crime rates of counties separated by a river. My current equation looks like:

    (crmrte1-crmrte2)^2=A0+rivA1+popdiffA2+cnty1+cnty2+st1+st2

    Anyone have any ideas on a better regression design? Currently I have data on population, crime rates, and location. I also have data on law enforcement employment for certain counties.

  2. #2
    Points: 1,023, Level: 17
    Level completed: 23%, Points required for next Level: 77
    Khrisstian's Avatar
    Posts
    35
    Thanks
    3
    Thanked 2 Times in 2 Posts

    Re: Regression Analysis for comparison of crime rates across a river


    It's hard to say what the best regression design would be without seeing the data. There are model selection methods (e.g. Akaike Information Criterion method) that can help select your model.

    A very simple way to select your model is to find the one that grants the biggest adjusted R^2 value.

    What are you using to model the data?
    Last edited by Khrisstian; 11-27-2014 at 11:56 PM.

+ Reply to Thread

           




Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts






Advertise on Talk Stats