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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNER Mauro | 57 |
| 3 | ŻELAZOWSKI Michał | 68 |
| 4 | KOCKELMANN Mathieu | 70 |
| 9 | BRENNAN Matthew | 68 |
| 10 | KADLEC Milan | 61 |
| 11 | GRUEL Thibaud | 70 |
| 15 | KULSET Johannes | 58 |
| 16 | TARLING Joshua | 78 |
| 17 | BANGERT Nick | 66 |
| 18 | VAN DER WERFF Thom | 60 |
| 22 | NORDHAGEN Jørgen | 59 |
| 24 | MATTIO Pietro | 70 |
| 25 | KAPELA Marek | 70 |
| 29 | SKOK Marcel | 65 |
| 30 | BENGELSDORF Lui | 76 |