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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ABMA Elmar | 86 |
| 4 | DE JONG Timo | 72 |
| 5 | VAN DE WYNKELE Lorenz | 75 |
| 7 | BOMBOI Davide | 72 |
| 10 | OTTEMA Rick | 77 |
| 12 | NAKKEN Tobias Risan | 72 |
| 13 | DE SCHUYTENEER Steffen | 74 |
| 15 | WEULINK Meindert | 62 |
| 16 | ÅRNES Daniel | 80 |
| 17 | SENTJENS Sente | 85 |
| 18 | SIMMONS Colby | 68 |
| 20 | DEHAIRS Simon | 82 |
| 22 | BEHRENS Niklas | 80 |
| 23 | KRUL Wessel | 75 |
| 24 | MCDONALD Brody | 65 |
| 25 | BRENNAN Matthew | 68 |