tag:blogger.com,1999:blog-5164103598331053465.post6968388957962978165..comments2023-06-19T23:55:44.831+08:00Comments on Pineridge Runner: First Pineridge Downhill Mile Results and AnalysisAlexhttp://www.blogger.com/profile/12214044620756866234noreply@blogger.comBlogger10125tag:blogger.com,1999:blog-5164103598331053465.post-87589262472048908432011-04-03T12:00:49.477+08:002011-04-03T12:00:49.477+08:00What are you, a Math teacher? Greyrock at 4:30am ...What are you, a Math teacher? Greyrock at 4:30am for anyone interested. Ha!Robhttps://www.blogger.com/profile/14984689096096403230noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-84084928325643536622011-04-02T12:44:33.104+08:002011-04-02T12:44:33.104+08:00This is awesome! I have some work to do on the PD...This is awesome! I have some work to do on the PDM. And the VBM for that matter.Slushhttps://www.blogger.com/profile/00365933945254895448noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-3077195292132842132011-04-02T12:27:22.837+08:002011-04-02T12:27:22.837+08:00Bunch of comments came in while I got distracted b...Bunch of comments came in while I got distracted by my kids in the middle of typing mine. I like you're prediction of 4:46 for Mr. October. I'm going to hold him to that. The pressure is on, Nick.Brianhttps://www.blogger.com/profile/09650432602542941472noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-60332512644459997822011-04-02T12:15:49.347+08:002011-04-02T12:15:49.347+08:00It would be interesting to use something like the ...It would be interesting to use something like the Reigel formula to predict Towers times from the PDM (or vice versa). The formula is relatively simple as T2 = T1 * (D2/D1)^1.06. Tn are times, Dn are distances. The exponent would have to be tweaked I'm sure to predict an difficult uphill run from a moderately downhill run. I don't know if we have enough data points to find a good fit though.Brianhttps://www.blogger.com/profile/09650432602542941472noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-64536656662374011342011-04-02T11:44:17.018+08:002011-04-02T11:44:17.018+08:00Cat: Yes, there are definitely a lot more variabl...Cat: Yes, there are definitely a lot more variables involved which is why it is interesting that the data is so closely correlated. And according to the data, you are one heck of a miler. Not bad for someone who at first mention of this event said, "I hate downhills"<br /><br />Looking at the equation and some of the faster Towers runners, Mr. October should be able to run the PDM in 4:46 and Sam should be good for a 4:41. Hopefully we can get them out next time to test the equation.Alexhttps://www.blogger.com/profile/12214044620756866234noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-79876710593395753592011-04-02T11:30:35.410+08:002011-04-02T11:30:35.410+08:00Geez! All these statistics!
Couldn't we just ...Geez! All these statistics!<br /> Couldn't we just assume that your Towers time and your Downhill Mile time are completely dependent on how much wine you drank the night before, how much wind was in your face, how much junk food you ate at work that day and whether your shoes were tied. <br /> In other words....statistics are awesome, but mostly it's just luck. Nothing to do with talent or training :)<br /><br />Kidding! Learned alot from the stats and where I need to focus!! THANKS!Cathttps://www.blogger.com/profile/00160518236441094632noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-42553337778098876222011-04-02T11:22:34.643+08:002011-04-02T11:22:34.643+08:00J: we missed you and your sprinter speed last nigh...J: we missed you and your sprinter speed last night. I hope everything clears up and we see you back on the trails soon.<br /><br />For Matt, Mike and all the other math geeks out there, the equation resulting from the linear regression of the data is y = 6.88x - 3.38, which for everyone else out there who didn't run the mile with us means that if you take your Towers time and add 3.38 minutes (3 min 23 sec) and then divide by 6.88, you will get a prediction of your expected PDM time.<br /><br />The r value or the correlation coefficient for the data is 0.88. The correlation coefficient indicates how well the line approximates the data. If |r| = 1, the line is a perfect fit to the data (all the dots fall exactly on a line; if |r| = 0, the line does not fit the data at all (dots all over the place). So our data with a correlation coefficient of 0.88 shows that our data is pretty closely correlated.<br /><br />Pete: Awesome Pete and that was with a head wind and having run Towers in the morning. I think you are good for a sub 5 before HR.Alexhttps://www.blogger.com/profile/12214044620756866234noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-65307546710318547322011-04-02T08:38:06.816+08:002011-04-02T08:38:06.816+08:00Cool stats. And that was a new mile PR for me. My ...Cool stats. And that was a new mile PR for me. My run down the beer mile section of Towers last spring was 5:24.Petehttps://www.blogger.com/profile/07920158983565294710noreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-3359618606136729662011-04-02T08:24:53.838+08:002011-04-02T08:24:53.838+08:00Oh man I was so bummed to miss this! Unfortunately...Oh man I was so bummed to miss this! Unfortunately, (as if my health luck could get worse) I developed a bad reaction to the medicine they gave me to help with the bad reaction from the other thing that messed up my face! My life is a farce. Anywho, I'll be there with my A game on the 28th...<br /><br />Oh, and Matt wants to know what the r squared of your regression line is.... :)Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-5164103598331053465.post-57169553389995531082011-04-02T07:50:47.558+08:002011-04-02T07:50:47.558+08:00Hurray for statistics!Hurray for statistics!mike_hinterberghttps://www.blogger.com/profile/02817872376341966540noreply@blogger.com