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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WRIGHT Fred | 75 |
| 2 | HAYTER Ethan | 70 |
| 3 | TOUZÉ Damien | 69 |
| 5 | BOSTOCK Matthew | 69 |
| 6 | VAN DER TUUK Danny | 64 |
| 8 | WELTEN Bram | 81 |
| 9 | FREHEN Jeremy | 66 |
| 10 | VAN DER HORST Dennis | 62 |
| 13 | TASSET Marvin | 63 |
| 15 | HENN Luca | 64 |
| 16 | STEWART Jake | 66 |
| 18 | PESTIAUX Yann | 58 |
| 19 | WINTER Laurin | 72 |
| 20 | WALLS Matthew | 72 |
| 21 | BÁRTA Tomáš | 79 |
| 22 | HOLT Joe | 68 |
| 24 | PAQUOT Tom | 70 |