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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | CAVENDISH Mark | 70 |
| 3 | NIZZOLO Giacomo | 72 |
| 4 | BANASZEK Norbert | 75 |
| 5 | DE KLEIJN Arvid | 68 |
| 6 | BOL Cees | 83 |
| 7 | TEUNISSEN Mike | 73 |
| 8 | PEDERSEN Mads | 76 |
| 9 | VAN DER SANDE Tosh | 67 |
| 10 | STEIMLE Jannik | 73 |
| 11 | LAMPAERT Yves | 75 |
| 12 | WALLIN Rasmus Bøgh | 78 |
| 13 | APERS Ruben | 70 |
| 14 | MENTEN Milan | 68 |
| 15 | VAN POUCKE Aaron | 68 |
| 16 | THIJSSEN Gerben | 74 |