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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN MOER Brent | 79 |
| 2 | COLBRELLI Sonny | 74 |
| 3 | VENTURINI Clément | 60 |
| 4 | STUYVEN Jasper | 78 |
| 5 | GROVES Kaden | 76 |
| 6 | POLITT Nils | 80 |
| 7 | KWIATKOWSKI Michał | 68 |
| 8 | GAMPER Patrick | 80 |
| 9 | ASGREEN Kasper | 75 |
| 10 | ARANBURU Alex | 63 |
| 11 | VALVERDE Alejandro | 61 |
| 12 | GAUTIER Cyril | 65 |