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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAURANCE Axel | 63 |
| 2 | UHLIG Henri | 69 |
| 4 | WENZEL Mats | 68 |
| 5 | VERMOOTE Jelle | 73 |
| 6 | KRAMER Jesse | 74 |
| 7 | KUKRLE Michael | 73 |
| 8 | WARLOP Jordi | 71 |
| 9 | LECLAINCHE Gwen | 65 |
| 10 | VAN DE WYNKELE Lorenz | 75 |
| 11 | AVADANIAN Lucas | 66 |
| 14 | HUBY Antoine | 56 |
| 15 | GRUEL Thibaud | 70 |