tag:blogger.com,1999:blog-38600807.post4371197677556572964..comments2012-01-26T10:15:00.958-05:00Brian Burkenoreply@blogger.comBlogger5125tag:blogger.com,1999:blog-38600807.post-39314948075156810822009-01-06T12:51:00.000-05:002009-01-06T12:51:00.000-05:00That's fine with me.Brian Burkehttp://www.blogger.com/profile/12371470711365236987noreply@blogger.comtag:blogger.com,1999:blog-38600807.post-88064768340494718282009-01-06T12:43:00.000-05:002009-01-06T12:43:00.000-05:00If Brian is cool with me putting an NBA-analysis article in the community site, I will do so. Brian?Adamhttp://www.blogger.com/profile/07433838358019660341noreply@blogger.comtag:blogger.com,1999:blog-38600807.post-10380151496614220982009-01-06T09:59:00.000-05:002009-01-06T09:59:00.000-05:00Why not writing an article for the community blog? Even if it does not deal with the NFL, the methodology is important. Thanks to this site I discovered the logistic regression. What do you think Brian?Sports Picks Systemhttp://www.sportspickssystem.comnoreply@blogger.comtag:blogger.com,1999:blog-38600807.post-55177774985768719982009-01-05T20:15:00.000-05:002009-01-05T20:15:00.000-05:00Hello Anonymous,<BR/><BR/>Your comment strikes me because I have been spending months doing the exact same thing (logistic regression analysis for NBA games). I've actually come up with a pretty darn accurate formula myself so, if you want to cut straight to the chase, I could just give it to you directly. Or, if you want to learn more about the process, I can explain to you how I came up with each coefficient. Either way, I don't want to muddy up Brian's awesome site with a bunch of NBA analysis stuffed into the comments section because I don't think his readers would care for it. I don't want to post my email address on a public site (spam, spam, spam, spam), but I think Brian can see the email addresses of those who have posted (?) and, if so, I wouldn't mind if he gave it to you. If that's not possible, is there another way for me to contact "Anonymous" without me publicly posting my email address, Brian??Adamhttp://www.blogger.com/profile/07433838358019660341noreply@blogger.comtag:blogger.com,1999:blog-38600807.post-26639551154107922142009-01-05T01:47:00.000-05:002009-01-05T01:47:00.000-05:00I have a question for you. I'm trying to make a logistic regression formula like the one you mention but for the NBA. I have the data (stats) I think are most relevant but I don't know how to fit it for two reasons I was hoping you could help me with. First, how do I determine what the intecept should be? Also, I have stats that are different (%, totals per game, etc)I know a logistic regression formula will allow to "weight" each one differently but how do I get them all in the same "format" to start with. I'm not a genius or a statitician but I would love to make this work-can you help?Anonymousnoreply@blogger.com