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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGHARDT Marcus | 75 |
| 2 | SANCHEZ Fabien | 75 |
| 6 | MCCARTY Jonathan Patrick | 68 |
| 7 | BONNAIRE Olivier | 67 |
| 8 | GÈNE Yohann | 67 |
| 9 | NAIBO Carl | 62 |
| 11 | SPRICK Matthieu | 71 |
| 13 | FOTHEN Markus | 71 |
| 17 | LEQUATRE Geoffroy | 64 |
| 18 | MARINO Jean-Marc | 65 |
| 20 | CLAUDE Mathieu | 69 |
| 22 | PERGET Mathieu | 64 |
| 31 | MOL Wouter | 83 |
| 32 | FRISCHKORN William | 68 |
| 33 | BEPPU Fumiyuki | 69 |