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 = -1.2 * weight + 127
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLEN Keije | 67 |
| 9 | MOLENAAR Ko | 68 |
| 18 | GUICHARD Carter | 66 |
| 24 | DIJKMAN Daan | 55 |
| 25 | HOLMES Wil | 64 |
| 41 | ZOMERMAAND Jurgen | 67 |
| 50 | BOUCHER Hugo | 67 |
| 57 | BIJLSMA Sjoerd | 68 |
| 62 | SCHWARTZ Simon | 69 |
| 68 | MEDINA Joaquin | 64 |
| 69 | VAN KEULEN Wessel | 71 |
| 76 | QUINT Antoine | 75 |
| 95 | GOOLD Max | 59 |
| 112 | HERNANDEZ Jan | 54 |