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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSEN Amund Grøndahl | 83 |
| 2 | KORSÆTH Truls Engen | 84 |
| 3 | MEISEN Marcel | 62 |
| 4 | HALVORSEN Kristoffer | 69 |
| 5 | LE TURNIER Mathias | 65 |
| 8 | MEIJERS Jeroen | 68 |
| 9 | GODRIE Stan | 74 |
| 12 | DE KLEIJN Arvid | 68 |
| 14 | TORRES Pablo | 63.5 |
| 16 | HIGUITA Sergio | 57 |
| 17 | REINHARDT Theo | 72 |
| 18 | GAILLARD Marlon | 64 |
| 20 | LAMOISSON Morgan | 69 |
| 22 | LEPLINGARD Antoine | 68 |