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 = -2.8 * weight + 238
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | SOLEN Keije | 67 |
| 15 | GUICHARD Carter | 66 |
| 33 | MOLENAAR Ko | 68 |
| 37 | DIJKMAN Daan | 55 |
| 38 | QUINT Antoine | 75 |
| 40 | SCHWARTZ Simon | 69 |
| 42 | MEDINA Joaquin | 64 |
| 52 | VAN KEULEN Wessel | 71 |
| 67 | ZOMERMAAND Jurgen | 67 |
| 68 | BOUCHER Hugo | 67 |
| 71 | BIJLSMA Sjoerd | 68 |
| 73 | HOLMES Wil | 64 |
| 100 | HERNANDEZ Jan | 54 |
| 146 | GOOLD Max | 59 |