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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE MARCHI Alessandro | 65 |
| 3 | GUILLON Célestin | 66 |
| 4 | VEISTROFFER Baptiste | 73 |
| 5 | STOKBRO Andreas | 70 |
| 6 | VAN HAUTEGEM Leander | 64 |
| 7 | MEENS Johan | 62 |
| 8 | SÉNÉCHAL Florian | 77 |
| 9 | LAPEIRA Paul | 64 |
| 11 | LATOUR Pierre | 66 |
| 12 | ROULAND Louis | 55 |
| 13 | MAYRHOFER Marius | 70 |
| 15 | GRUEL Thibaud | 70 |
| 16 | BALMER Alexandre | 70 |
| 17 | DONNENWIRTH Tom | 63 |