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 = -1.4 * weight + 140
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | HOLMES Wil | 64 |
| 11 | SOLEN Keije | 67 |
| 18 | MOLENAAR Ko | 68 |
| 30 | BOUCHER Hugo | 67 |
| 31 | DIJKMAN Daan | 55 |
| 32 | ZOMERMAAND Jurgen | 67 |
| 37 | GUICHARD Carter | 66 |
| 52 | BIJLSMA Sjoerd | 68 |
| 57 | MEDINA Joaquin | 64 |
| 60 | VAN KEULEN Wessel | 71 |
| 61 | SCHWARTZ Simon | 69 |
| 62 | QUINT Antoine | 75 |
| 91 | HERNANDEZ Jan | 54 |
| 113 | GOOLD Max | 59 |