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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATTHEWS Michael | 72 |
| 2 | DE BIE Sean | 65 |
| 3 | KELDERMAN Wilco | 65 |
| 6 | PINOT Thibaut | 63 |
| 7 | SPRENGERS Thomas | 60 |
| 9 | LANDER Sebastian | 70 |
| 11 | VAN KEIRSBULCK Guillaume | 89 |
| 17 | VEREECKEN Nicolas | 72 |
| 21 | KRAUWEL Bas | 77 |
| 22 | THILL Tom | 73 |
| 23 | BARDET Romain | 65 |
| 28 | LIETAER Eliot | 70 |
| 31 | QUAADE Rasmus | 77 |
| 33 | WAEYTENS Zico | 67 |
| 37 | KOCH Michel | 69 |
| 41 | BREEN Vegard | 74 |
| 46 | HEPBURN Michael | 77 |