My advisor was chair for a pretty long time. I don’t know if he has the record though. He’s also the kind of person who would make his kid redo something like this.
The coefficient could be significant even with the low R^2, especially if the sample size is large enough. Still, the whole thing could be improved a lot. Zero-inflated Poisson regression is probably what is needed.
I'd recommend using R and the ggplot2 for static graphics also. You could make an mgoblog theme in ggplot and, after some initial effort, you'd be able to produce nice stuff fairly quickly. It's probably also worth checking out D3 and 538's github page. This site prides itself on being data-driven, so I think it would be worth the effort to pick these things up.
Unless I'm missing some context, I don't think Schlissel is necessarily saying athletics are a time sink. The paragraph immediately before the time sink comment doesn't imply that.
Well, there was that 2006 game against Ball State. Ball State did have an OK coach that day. Also, that first game of Lloyd's last season didn't go so well either. In all fairness, that wasn't a MAC team.
In addition to being a a B10 game, it was also before school started. I remember that week giving me a very skewed impression of what college was going to be like.
I'm not sure if this perspective has been mentioned in the previous 166 comments, but as a former graduate student I think student athletes should be paid. I see a lot of parallels between grad students and student athletes, particularly in the revenue sports. I was given tuition and a stipend to be a research assistant. In other words, I went to school for free and was paid a salary to promote the University by writing papers with the University's name on it. The University profited directly from grants that I worked for my advisors and indirectly from the small amount of fame brought from recognition of my work. In a certain sense, student athletes provide a similar benefit to the University and it seems like they should be compensated in a similar manner. I haven't thought through the exact implementation, and I'm sure it would have to be carefully crafted to avoid abuse, but from the viewpoint of a graduate student, I can't justify not paying them.
This guy was a few seats down in my row, but sadly didn't even win the coveted Most Annoying Person in My Immediate Vicinity Award. The overwhelmingly winners were the couple behind me. At half time (when things were still going relatively well), I informed the limited universe of my Facebook friends that this couple were douchebags and represented the worst of Michigan fandom. To that point, they'd spend most of the half complaining about the yardage total and telling me and my friend to sit down. The man was also trying to provide Warren with coverage advice regarding the large cushion (which I also hate, but can live with, especially given the safety play over the last 5 years). Immediately following the fumble early in the third, they announced that the game was shaping up just like the Illinois game, which, although the outcome was vaguely similar, wasn't remotely true. For me, the no-heart guy was just gravy on the shit-turkey that the people behind were already serving. At the end of the game, I actually noticed Brian down front engaging someone behind him in somewhat heated conversation. Is section 44 particularly bad?
After nine years of undergrad and grad school with student tickets, I've managed to make it back to Ann Arbor for one game each year for the past five and I can't get used to sitting with "adults." Does the irritation ever pass? Do I turn into one of these people? Can I get a shirt that says "I Will Not Be Seated!" on the back?
Getting shoved out by a corner seems a lot safer than being bent in half by a safety or linebacker. I believe that Sam McGuffie would agree with this sentiment.
Maybe I'm reading this incorrectly, but I think there are some errors here. For example, you say a team winning the first 4 is more likely to win 7 than 8 or 9, but it seems that 5 out 21 teams that started out 4-0 finished with 8-9 wins and only 3 out of 21 teams that started out 4-0 finished with 7. Similarly, you say that 21% of 4-0 teams barely made a bowl, but it seems more 14% (3/21) of 4-0 teams barely made a bowl. Instead, 21% (3/14) of teams that finished with 7 wins started out 4-0.
I apologize if I'm misunderstanding you.
I tried last night before I left the comment and again today after your response. Gmail doesn't seem to think it exists. Check it out and then I'd be happy to contact you.
The ASA has a Statistics in Sports section ( http://www.amstat.org/sections/sis/ ). They have a list of relevant journals that you might want to check for previous work.
I highly recommend R. It's the standard in the statistics world. It has sort of a steep learning curve since it's really a high-level programming language (on the order of Matlab, but with a stat focus), but the upside is lots of flexibility and plotting capability. I can recommend some learning material if you're interested.
I would definitely advise doing lots of exploratory data analysis. Just make a bunch of plots and think about what you're seeing for a while. This goes a long way toward building good models.
Depending on how this goes, it's probably publishable. I have three degrees in statistics from our fair university, so I know a little bit about data analysis. I'd definitely be willing to read anything you write or discuss any ideas you have. Good luck.
I nearly fell out of my chair when I saw the title of this thread. I went to high school in Bad Axe and still have a lot of family in the area.
Bad Axe doesn't feature the greatest bar scene. I think Cousins (as you enter town on M-53, turn right at the intersection where M-53 turns back north) is your best bet, but you could also try Pete's (straight at that same intersection -- there are only so many intersections in Bad Axe).
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The coefficient could be significant even with the low R^2, especially if the sample size is large enough. Still, the whole thing could be improved a lot. Zero-inflated Poisson regression is probably what is needed.
I'd recommend using R and the ggplot2 for static graphics also. You could make an mgoblog theme in ggplot and, after some initial effort, you'd be able to produce nice stuff fairly quickly. It's probably also worth checking out D3 and 538's github page. This site prides itself on being data-driven, so I think it would be worth the effort to pick these things up.
Unless I'm missing some context, I don't think Schlissel is necessarily saying athletics are a time sink. The paragraph immediately before the time sink comment doesn't imply that.
Well, there was that 2006 game against Ball State. Ball State did have an OK coach that day. Also, that first game of Lloyd's last season didn't go so well either. In all fairness, that wasn't a MAC team.
In addition to being a a B10 game, it was also before school started. I remember that week giving me a very skewed impression of what college was going to be like.
I'm not sure if this perspective has been mentioned in the previous 166 comments, but as a former graduate student I think student athletes should be paid. I see a lot of parallels between grad students and student athletes, particularly in the revenue sports. I was given tuition and a stipend to be a research assistant. In other words, I went to school for free and was paid a salary to promote the University by writing papers with the University's name on it. The University profited directly from grants that I worked for my advisors and indirectly from the small amount of fame brought from recognition of my work. In a certain sense, student athletes provide a similar benefit to the University and it seems like they should be compensated in a similar manner. I haven't thought through the exact implementation, and I'm sure it would have to be carefully crafted to avoid abuse, but from the viewpoint of a graduate student, I can't justify not paying them.
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