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 = 2.2 * weight - 110
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GRUPP Louis | 67 |
| 5 | SOLEN Keije | 67 |
| 8 | NAGENGAST Ruud Junior | 62 |
| 10 | DAHL Marius Innhaug | 68 |
| 11 | MOLENAAR Ko | 68 |
| 13 | REITZ Braden | 57 |
| 16 | PEACE Matthew | 63 |
| 23 | VERSTRAETE Jenthe | 59 |
| 25 | GRINDLEY Sebastian | 72 |
| 29 | SMIT Stan | 59 |
| 33 | BOUCHER Hugo | 67 |
| 46 | HOBOLTH Marius | 71 |
| 66 | SCHELDEMAN Xander | 66 |
| 69 | MONS Jasper | 61 |
| 79 | ROONI Ron | 72 |
| 82 | VASSAL Théophile | 65 |
| 93 | JUST PEDERSEN Carl Emil | 80 |