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 = -0.9 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEQUATRE Geoffroy | 64 |
| 3 | LAGUTIN Sergey | 68 |
| 4 | SPRICK Matthieu | 71 |
| 5 | ABAKOUMOV Igor | 68 |
| 7 | VAN HECKE Preben | 69 |
| 9 | HEIJBOER Mathieu | 78 |
| 10 | STEURS Geert | 77 |
| 12 | VAN DEN BROECK Jurgen | 69 |
| 17 | VANSUMMEREN Johan | 79 |
| 19 | GILBERT Philippe | 75 |
| 26 | CLEMENT Stef | 66 |
| 30 | MONFORT Maxime | 66 |
| 33 | DE SCHROODER Benny | 61 |
| 38 | HONIG Reinier | 61 |