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 = 0.7 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LIE Arnaud | 78 |
| 5 | VANDENSTORME Dylan | 64 |
| 6 | JØRGENSEN Adam Holm | 68 |
| 8 | ANDRESEN Tobias Lund | 69 |
| 9 | VERCOUILLIE Victor | 66 |
| 11 | KESSLER Cole | 75 |
| 17 | MENGEL Nikolaj | 65 |
| 18 | HANSEN Alexander Arnt | 68 |
| 22 | ROSENLUND Stian | 72 |
| 23 | MIKKELSEN Pelle Køster | 72 |
| 24 | KVAM Kalle | 72 |
| 25 | DUBA Maxime | 85 |
| 26 | RAVNØY Johan | 78 |
| 30 | AAGAARD HANSEN Tobias | 77 |