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 + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARIESEN Tim | 70 |
| 2 | SCHULTZ Nick | 68 |
| 5 | NÕMMELA Aksel | 69 |
| 7 | MOTTIER Justin | 65 |
| 8 | LE TURNIER Mathias | 65 |
| 10 | LÖER Lukas | 69 |
| 12 | YSSAAD Yannis | 69 |
| 16 | RODRIGUEZ Pedro Sébastian | 59 |
| 17 | BRAUN Julian | 76 |
| 24 | KNAUP Tobias | 61 |
| 26 | LEVASSEUR Jordan | 74 |
| 28 | LEPLINGARD Antoine | 68 |
| 29 | GAILLARD Marlon | 64 |
| 31 | KALOJÍROS Tomáš | 65 |
| 42 | MANSOURI Abderrahmane | 66 |