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 = 0.8 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICHOT Alexandre | 72 |
| 2 | LEQUATRE Geoffroy | 64 |
| 5 | SCHULZE André | 70 |
| 9 | VEIKKANEN Jussi | 66 |
| 10 | LÖFKVIST Thomas | 70 |
| 11 | LELAY David | 67 |
| 12 | RENDERS Sven | 63 |
| 15 | VANDBORG Brian Bach | 75 |
| 20 | MARTIAS Rony | 71 |
| 21 | GÈNE Yohann | 67 |
| 24 | DION Renaud | 65 |
| 25 | STEURS Geert | 77 |
| 30 | RIBLON Christophe | 65 |
| 31 | VALENTIN Tristan | 69 |
| 36 | MANGEL Laurent | 83 |
| 38 | SPRICK Matthieu | 71 |