Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TSATEVICH Alexey | 64 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | KRASNOV Leonid | 65 |
| 5 | PINOT Thibaut | 63 |
| 6 | ALBERT Niels | 73 |
| 8 | NOVIKOV Nikita | 77 |
| 9 | BIDEAU Jean-Marc | 73 |
| 10 | MÉDEREL Maxime | 59 |
| 12 | WIPPERT Wouter | 75 |
| 14 | JARRIER Benoît | 69 |
| 15 | GUILLOU Florian | 71 |
| 17 | HARDY Romain | 62 |
| 19 | KORETZKY Clément | 66 |
| 20 | KUSZTOR Péter | 61 |
| 22 | VOß Paul | 66 |
| 23 | LAENGEN Vegard Stake | 79 |