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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELACROIX Tristan | 59 |
| 2 | SEFA Ylber | 72 |
| 3 | VERHOEFF Stefan | 76 |
| 4 | HENNEQUIN Paul | 64 |
| 8 | CARSTENSEN Lucas | 69 |
| 9 | VAN ENGELEN Adne | 51 |
| 13 | HOLLER Nikodemus | 58 |
| 19 | STRAVERS Jarri | 73 |
| 21 | COFFEY Timothy | 75 |
| 23 | CROSS Eugene | 65 |
| 25 | DEGUEURCE Joffrey | 69 |
| 27 | VELIA Olsian | 74 |
| 28 | PEYROTON-DARTET Thomas | 65 |
| 30 | KAGIMU Charles | 63 |