165/3.3 what are my chances at UMN/ UIIT Kent
Posted: Wed Oct 09, 2013 2:57 pm
Bad semester dragged down my GPA, coming from UWmadison would receive in state at minnesota looking at Chicago area schools applying early decision to UMN
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RetakeThreezus wrote:Bad semester dragged down my GPA, coming from UWmadison would receive in state at minnesota looking at Chicago area schools applying early decision to UMN
How can you incorporate the new median in this model? I'm assuming you are relying on outdated numbers here, or you've installed an RNG that could be equally chaotic...Arcticlynx wrote:UMN - 33.8% ED is a good decision
UWisconsin - 50.2% if you can get in-state in Wisconsin after going to undergrad there.
I don't think you're likely to find much money at either of these schools though.
Based on a regression model.
Random number generator. That seems to be what you are doing to fit data to the new medians. You aren't working with an actual sample, just a fictitious number generator based on quartile values.Arcticlynx wrote:I built a regression model in the statistical program "R" in order to help myself decide which schools to apply to. The numbers that I am using for Minnesota bases set are LSAT 156/164/167, GPA 3.44/3.79/3.90, which I believe are the most recently published for the the class of 2016. The program fits these numbers using a least squares algorithm and then extrapolates based on a two-factor GPA/LSAT score.
I don't know what an RNG is??
Have you done any tests to see how well your method stacks up against real data?Arcticlynx wrote:Not using a random number generator, but I am modeling on quartiles so your critique is credited. I am using quartiles to fit a function to Minnesota's data by lest squares and then back-feeding OPs numbers into that function in order to calculate OP relative to the Class of 2016 a UMN.
Minnesota is not a very good school if you want to be employed as a lawyer. It's an especially poor school if you want to be employed as a lawyer and pay off BIG DEBT. EDing to a school like that and being locked into paying (instate) sticker is a no go amigo.Threezus wrote:Thank you for the feedback guys, I'm wondering why even if I am above the new medians why you would advise against applying ED? I'm assuming it can only help my chances, but I'm wondering if it will limit my ability to get a scholly. Also, what's the general consensus on whether it would it be worth it to go to a lower ranked school (William Mitchell, Loyola, DePaul, etc) with a sizable scholarship than attend UMN at/near sticker price?
Especially since he wants (seemingly?) to work in Chicago.BigZuck wrote:Minnesota is not a very good school if you want to be employed as a lawyer. It's an especially poor school if you want to be employed as a lawyer and pay off BIG DEBT. EDing to a school like that and being locked into paying (instate) sticker is a no go amigo.Threezus wrote:Thank you for the feedback guys, I'm wondering why even if I am above the new medians why you would advise against applying ED? I'm assuming it can only help my chances, but I'm wondering if it will limit my ability to get a scholly. Also, what's the general consensus on whether it would it be worth it to go to a lower ranked school (William Mitchell, Loyola, DePaul, etc) with a sizable scholarship than attend UMN at/near sticker price?
Retake
If I have this correct, you're essentially estimating an index formula and then placing OP on it? That would be fine if admissions were done on a sliding scale. Unfortunately, it's not. It's done by medians, so that index is not a useful or even particularly meaningful metric.Arcticlynx wrote:Not using a random number generator, but I am modeling on quartiles so your critique is credited. I am using quartiles to fit a function to Minnesota's data by lest squares and then back-feeding OPs numbers into that function in order to calculate OP relative to the Class of 2016 a UMN.
Yes it is a correlation index, based on a matrix of two covariant factors LSAT and GPA relative to a nonlinear model (see multifactor nonlinear regression). I guess you could call it a sliding scale, but in 3 dimensions.cotiger wrote:If I have this correct, you're essentially estimating an index formula and then placing OP on it? That would be fine if admissions were done on a sliding scale. Unfortunately, it's not. It's done by medians, so that index is not a useful or even particularly meaningful metric.Arcticlynx wrote:Not using a random number generator, but I am modeling on quartiles so your critique is credited. I am using quartiles to fit a function to Minnesota's data by lest squares and then back-feeding OPs numbers into that function in order to calculate OP relative to the Class of 2016 a UMN.