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 = 0.3 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDER Sebastian | 70 |
| 2 | MATTHEWS Michael | 72 |
| 3 | SPRENGERS Thomas | 60 |
| 5 | KELDERMAN Wilco | 65 |
| 6 | DE BIE Sean | 65 |
| 10 | VAN KEIRSBULCK Guillaume | 89 |
| 12 | VEREECKEN Nicolas | 72 |
| 13 | PINOT Thibaut | 63 |
| 16 | LIETAER Eliot | 70 |
| 17 | HEPBURN Michael | 77 |
| 18 | QUAADE Rasmus | 77 |
| 22 | KOCH Michel | 69 |
| 23 | BREEN Vegard | 74 |
| 27 | THILL Tom | 73 |
| 30 | BARDET Romain | 65 |
| 32 | WAEYTENS Zico | 67 |
| 44 | KRAUWEL Bas | 77 |