![]() This, according to me, is the foundation of statistical thinking. However, there are still cases in which either sprinter can win the gold medal. ![]() Using the above distributions the gold medal will still stay with Usain Bolt as the most likely case. Normal distribution is a good assumption for most natural phenomena like running speed of humans. The following distributions are all normal or Gaussian distributions. ![]() For argument’s sake, let’s assume the following distributions for race completion time for the three medal holders. The same is also true for the other medal holders Yohan Blake, and Justin Gatlin. For Instance, if we make Usain Bolt run the 100 meters race one thousand times, he will finish each race with a different timing, mostly close to his record time in the Olympics. However, I must say that… You Can Beat Usain Bolt in 100 Meters Sprintīefore I explain how, let us go back to the medal holders of 2012 Olympics. Usain Bolt is widely regarded as the fasted man in the world. The following is the list of medal holders for 2012 Olympics (source: Wikipedia) Rank In 2012 Olympics, Usain Bolt created a new record by finishing the race in 9.63 seconds. For a sporting event that lasts just close to 10 seconds, 100 meters sprint is arguably the most followed event of the summer Olympics. He was disqualified from the race, and stripped of his gold medal. Later, Johnson was tested positive for consumption of performance enhancing drugs. ![]() That was the same Olympics where Ben Johnson broke the then world record for 100 meters sprint by completing the race in 9.79 seconds. The first Olympic games I followed was in 1988 held in Seoul, South Korea. But before moving to regression, let’s try to put some fundamental ideas behind statistics in perspective by using the most followed event of the summer Olympics. A sound understanding of regression analysis and modeling provides a solid foundation for analysts to gain deeper understanding of virtually every other modeling technique like neural networks, logistic regression, etc. In this part, we will learn about estimation through the mother of all models – multiple linear regression. Classification: Part 5, Part 6, Part 7 & Part 8 ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |